Difference between revisions of "Four quadrant holon model"

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In the section we introduce a specific model in the form of a software design pattern for a p2p network peer that behaves as a holon, and as a network behaves as a holarchy. In the previous sections, we've introduced all the concepts involved in the holarchy design, and now in this section we combine all these concepts into a structure form that can be easily implemented in software.
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{{info|This content will be merged into the [[holon mechanism]] article.}}
  
The dichotomies of class and instance and of integrative and self-assertive combine to give us four definite roles that constitute the behaviour of a holon. By themselves the two dichotomies are too abstract to do anything, but the quadrant formed from their combination are specific enough to be defined and implementable.
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=== Class and instance ===
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The other top-level dichotomy in Koestler's holarchy model is of ''fixed rules'' and ''flexible strategies'', which refers to the composition and organisation of the behaviour patterns. In our system, we refer to these as ''class'' and ''instance'' since they are a far better match for these concepts in the information technology context.
  
Diagrammatically the upper quadrants represent the outward-facing integrative behaviours, the lower quadrants conversely represent that inward-facing self-assertive behaviours. The left and right quadrants represent the class (fixed rules) and instance (flexible strategies) respectively.
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The class aspect of objects is analogous to Koestler's fixed rules, it defines structured possibility space within which instances can select and enact appropriate activities from all the possible ones. Koestler's fixed rules provide a repertoire of behaviours corresponding to the conditions under which they apply. In other words, classes define ''possibility''; how an instance of it ''would'' behave ''if'' various conditions were the case.
* The top-left (TL) is the integrative class aspect, or what the class aspect is as a whole, which is the shared ontology.
 
* The top-right (TR) is what the instance aspect is as a whole which is the market of resource in flux.
 
* The bottom-left (BL) is the about the holon's own specific objectives.
 
* The bottom-right (BR) concerns the holon's day-to-day operations.
 
  
The agent focus is multiplexed throughout the instance tree to yield separate private threads, all allocating their focus and other resource to their own activities and further child threads within. Each of the instance contexts is itself multiplexed into four, so that every holon is always allocating some resource to each of the fundamental quadrants of holon behaviour. Let's now go into more detail about each of these quadrants and dimensions.
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The OO system that is used by a high-level programming language is fundamentally about classes and instances (even if they don't explicitly take those names), because all OO is about the organisation of implementation details into encapsulated packages behind established interfaces. The word "class" refers to the packaging aspect of this organisational process, and "instance" to an actual executing occurrence of a package. The difference between different kinds of OO languages is about the different ways of organising of the packaging and deployment of common functionality.
  
=== Class (L) ===
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This general functional organisation that class and instance provide is exactly the purpose of the holon model as well. But a holon extends this idea to serve not only its local individual objective, but also serves the integrity of the whole formed by all holons. We can say that traditional OO defines just the self-assertive behaviour, but the holon model extends it to include the integrative behaviour as well.
So far above we've described a class as a package of rules that are activated in response to specific local conditions. And that together, this package ecosystem as a whole forms a shared ontology of meaningful connections.
 
  
These rules are declarative in the sense that they refer only to their local environment in specifying their constituent conditions and actions. There is no information in rules that refers to the organisational system itself (control flow). This is important, because it means that rules can be represented entirely by domain-specific language and related class references (local scope namepsace).
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Evolution and knowledge go hand-in-hand, one does not exist without the other, because they depend on each other and on the previously mentioned dependent dichotomy of society and individual.
* timeless
 
* classification; refining the ontology to model reality
 
  
=== Instance (R) ===
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Evolution is actually a class-instance system itself, because the evolutionary knowledge is captured in re-usable "packages" (genes and species), but cannot express itself or develop without individuals to actualise it. Individuals are encapsulations of actualised knowledge, and the society is an ecosystem of the combinations of such encapsulations that have become established in usage.
* timeful, resource flow
 
* instance as tree as well
 
* instance tree is the holarchy - the actual instantiated organism like the singleton of life
 
* continuous instiatiation
 
  
Instances are connected into time, they receive agent attention and have a specific state of information and resource. This specific state extends the general possibility space defined by the class. Instances have a history in the form of an activity stream, and a future in the form of schedule slots. Instances are threads of attention in which activity takes place in the present schedule slot (moment).
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Class and instance are interdependent, instances are created in the form of their class, but yet the class (as a p2p collective) is merely the totality of all the instances of it. Even though they're interdependent, instance is primary and class is the derived principle. This is the same situation as with the individual and collective mentioned above. It's also similar to cause and effect, they're two sides of the same coin, one following the other.
  
=== Integrative (T) ===
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When thinking about OO programs, we usually think of the class structure as a static structure built from program code, and the instances as existing in the ''runtime'' space of an actual live running instance of the program. But here we're talking about the design of the actual OO environment itself.
* todo
 
In this interface role, the agency can express its heuristic imperative of accurately representing the real organisation, and presenting the representation so as to optimise the understanding, operation and direction of the organisation afforded to the participants.
 
  
We can think of the shared ontology and the market as being the fundamental "applications" of the holarchy, and AI as being the primary user interface for these applications. AI agency interacts with these applications on our behalf and presents the results to us in the most understandable way.
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In any "OO program" built within this environment, both the classes and instances exist in the single unified "runtime" space of this live running OO environment. In other words, classes and instances go hand-in-hand, they cannot exist independently of each other, they are both features of the runtime space of the OO system.
  
We mentioned above that the physical representation of a holon is its interface, but it's such a fundamental layer of functionality that the interface is more akin to an API that something a user would work with directly. So AI agency site between the basic organisational level and the user. The AI is also in a position to delegate its interface role down to a simpler form such as a browser DOM environment.
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All organisation, knowledge and meaning within the holarchy can be looked at in the dual light of ''how it works'' and ''what it's like''. How something works, means a model of it in actionable terms, and this takes the form of structured classes (classes that represent further class structure within, a pattern). What something is like can only be known by participating in it, or in other words ''representing a particular operating example of a class-tree'', which is to say an ''instance structure'' of the class. A class-tree is referred to by one class. A class is an actionable ''model''.
  
???These objects have continuous runtimes like API end-points, except that the services and capabilities that they advertise can be diverse and they have the common language of market and organisation in which to participate. The interfaces they present can vary over time, and come with market variables like reputation, supply and demand.
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In the following sections we'll discuss class and instance in more detail, first talking about instance and then class both in the context of ''what they're like'' from the perspective of a running instance. Then we'll talk about ''how they work'' as an actual mechanism that produces this perspective.
  
=== Self-assertive (B) ===
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==== Being an instance ====
The bottom quadrants are both dedicated to the self-assertive behaviour of the holon. Together their purpose is to achieve the objectives of the organisation, and to ensure they using the most useful patterns and adapting them effectively towards their local needs.
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A holon is an individual with it's own "subjective" point of view (POV) and internal private "mental" world of intention and state. All holons find themselves to be within a public arena populated with other holons.
  
=== Shared ontology (TL) ===
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A actualised "live" holon is an instance, it has been instantiated and operates continuously through time. This section introduces this situation from the perspective of what it would be like to ''be'' the operating instance, seeing the world through its "eyes" from behind its public interface.
The ideal objective of this quadrant is perfection of the public shared ontology. The ontology is a shared map we all collaborate on and use to navigate and participate in society. We're all participatory members of the public ontology project. The ontology takes the form of the structure of established patterns of usage and the associated metrics that help with decision making and daily operations. Perfecting the ontology means transparently sharing aggregated usage statistics and performance metrics, and making our own knowledge and adaptations more understandable and usable.
 
  
Making shareable means ensuring the ontology accurately and completely reflects the true state of the organisation, and aggregating the most useful metrics in the context of the conditions they apply to. Although the sharing of knowledge primarily concerns packages of rules and their associated variations and metric, it's also about maintaining traditional sources of knowledge such as tutorials and knowledge-bases etc incorporated into the ontological map.
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===== Instance-scope =====
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Normal OO object instances have a private internal persistent state for their operational memory, their ''scope'' of operation. The persistent state is a structure of class names all representing local information and further instances within.
  
A class contains a ''map'' of its instances and their usage statistics. Classes have relations between them, the most fundamental being dependence. The conditions and the established paths of usage associated with them are the basis of the maps that guide attention into the specifics of its structure. The whole graph of classes together are the shared ontology. The ontology maps to the holarchy (the totality of all organisation-holon instances) just as culture is the abstract map of society.
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Instances are containers of state and associated functions. In a holon these functions are sibling holons, which may have further organisation within at a smaller scale of holon operation, or they may be foreign agency. The two scenarios make no difference from the perspective of the holon in question, because the complexity or simplicity within these child holons is also encapsulated behind their public interface.
  
The ontology is an organised structure of shared knowledge in the form of packaged of rules (classes) which, when instantiated, assess local conditions and activate relevant patterns in accord with them.
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The scope is a ''namespace'', a list of all the things that exist directly by reference to only their name. It's scope that allows for the distinction between public and private. It's a ''flat'' (non-hierarchical) list because we do not have any access inside the siblings since their internals are private to them.
  
The purpose of knowledge is subjective local consumption and understandability. Understanding it means that an individual's behavioural patterns have been changed by the knowledge. We say the individual has embodied the knowledge, or in the case of an organisation-holon the knowledge has been instantiated in the organisation.
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All ''scope'' is essentially a set of unique identifiers representing other instances, agents, information or resources etc. Private scope is private because only functions (or agents) referred to in that specific scope have access to it. None beyond or within can see it.
  
It's clear that knowledge, involving communication and understandability, must include the dynamics of community, not just the individual (community and communication are interdependent). In terms of networking, the sharing of knowledge is about the replication of classes to maintain a structured shared ontology of all knowledge.
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The instance scope is persistent, existing for the life of the instance, they're an informational context shared by the group of functions and other agents that constitute the instance. All the siblings in the group interact with the scope they all share, rather than co-ordinating with each other directly, i.e. operating in accord with the ''Blackboard'' pattern (described in the preliminary concepts).
  
It's the job of p2p to maintain the ontology, but the ontology as a whole is abstract, it can never be fully known by any individual holon. Individuals can only maintain a small portion of the whole based on their own interests, history and circumstances. But their contributions all overlap to create a unified whole in the abstract, and any peer can access any part of the ontology they wish to using easily followed maps.
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With the concept of private scope comes the complimentary concept of ''public scope''. A holon can mark any of its private scope that it chooses to as public. This doesn't mean that it actually is public in the sense that anyone can see it, just that its accessible to the containing scope (which we call "beyond", "above" or "parent").
  
We all want the best for society but it needs to be balanced with the self-assertive. A simple and natural foundation to this principle is that knowledge should be as transparent as practically possible. And it's a heuristic imperative to maximise this transparency.
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This aspect that is made available beyond, is called the ''public interface'', and works the same way as private and public scope work in traditional OO instances. The public aspect is ''presented'' to the parent scope by the local agents collaboratively.
  
The transparency of knowledge is not only about access to the informational aspect of the knowledge, it's about maximising the understandability of it. This calls for a common process by which knowledge is instantiated, and also by which the instantiation can be assessed. Knowledge can be more readily obtained and utilised if its performance under various conditions can be assessed.
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===== Agency =====
* knowledge can be used, but we must be able to assess the usage
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In the context of the holon, "agency" and "agent" refers to the ability to apprehend state and instructions and perform any actions that may be implied by them. The actual actor involved could be a user, AI, an API or OS, a domain-specific language interpreter or many other things. The holarchy is an organisational system which is ''agency agnostic''.
* sharing knowledge means sharing usage
 
* tie in with libre software movement
 
  
=== Market (TR) ===
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A holon instance is an abstract informational representation of something real in the world that's being organised. In other words it's able to ''represent itself'' as a holon within the holarchy, as an instance within another (parent) instance. The instance's informational content is a ''representation'' in the same sense as the ''body schema'' described in the preliminary concepts.
* market is a distribution of supply and demand
 
* but as a concept its interdependent with specialist knowledge (participatory, also fair and transparent)
 
* balanced exchange (implies no usury and no charity)
 
* evolving market
 
* the flow of resource
 
* the common logistic
 
* contributing to the harmony of the stock and flow
 
  
The free market is a controversial topic and considered by many to be something entirely alien to nature. But it's important to note that it's not the market dynamic that's unnatural, it's centralised power. The free market dynamic, when transparent and unmanipulated, permits a harmonious balanced resource allocation system. The most fundamental systemic aspect of a biological organism is its bio-economic aspect. The market dynamic cannot achieve this harmonious potential alone, it needs to be balanced with the integrative behaviour of the shared ontology.
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Instances ''map'' foreign informational domains into the holarchy, presenting them primarily as what they conceptually are in the ontology, and with the working details encapsulated within their private scope. Those details may be further holon structure within, or may be pure foreign agency.
  
The ontology of classes determines ''how'' things are organised. The other side is ''what'' is being organised, the actualised instances of the classes in the ontology. This side is fundamentally about the specific state, connection and flow of resources and attention throughout the network. In terms of a dynamic system, this resource flow takes the form of a decentralised market, where matching supply and demand pairs represent potential for flow.
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The "fingers" of the ontology slowly reach in to any holon ever more deeply, mapping the information state and sibling agents ontologically, developing the territory within into more refined ontological representation. An inherent attribute of the holon environment is ''penetration'', the ontology automatically spreads to be an ever more accurate conceptual abstraction of the reality it interacts with.
* it's in terms of flow that we talk about actualised organisation
 
  
The instances containing one another form a structure of agency, resource and information. The resource structure is constantly in flux around form determined by the ontology. This is the same as molecules, proteins and cells that make up an organism being in flux around form determined by the organism's DNA. Likewise, our own cognitive symbols are in flux around forms within the collective unconscious.
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More complete and accurate abstract representation yields more diverse and complex interaction and the opening up of new potential for organisation and re-use. We'll come back to these aspects more in the AI integration section.
  
An instance is a physical representation of a class which is composed of actual resource in a real state, and having a history and future. In OO terms, this representation is the ''public interface'' of the organisation. It's formed from resource which is native to the context it's instantiated within. This form is maintained by the implementation of the rules constituting the instantiated classes.
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Regardless of their agentic complexity, it's fair to say that all instances have a subjective local point of view consisting of the information and threads of activity within their instance scope. They find themselves to be in an organisational context consisting of other sibling instances of various classes encapsulating their agency within and presenting their state publicly for apprehension by the other siblings.
  
* it's p2p so market is not some "place", it's really a protocol amongst individuals,
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The organisation context these siblings find themselves within is itself an instance, and the siblings public states all together make up the presented public state for the parent context beyond.
* but the p2p aspects means we can all participate in it as if it were a place
 
* the market is about presenting market variables such as our state of supply, demand
 
  
???The internal dynamic is not common to all, it's specific and involves subjective local objectives and values. It may even operate in accord with a different network topology. The way they operate depends entire on the preferences and conventions of the participants involved.
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===== Continuity =====
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Each instance context is one of a group of sibling holons sharing a local persistent instance-scope. The siblings are all continuous threads of execution with shared access to an immutable past and a collaborative future as an inherent attribute of the scope. We'll go into the mechanics of these threads and time soon, but in the section we describe the continuity in the general terms of what it's like from the perspective of an instance operating within the scope.
  
=== Organisation (BR) ===
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Instances are actualised class patterns, classes representing further class structure within. In terms of the continuity of time "experienced" by an instance, the threads are hierarchical which permits arbitrarily complex systems and stories; ''trees of timeslots''. Since classes can specify that instances of them act in response to complex conditions, structure can be highly dynamic and meaningful.
As discussed above, a class is a package of declarative rules in the form of conditions and corresponding activities. The evaluation of the conditions has already been discussed because it's an integrative process. Here we turn to the performance of the activities which progress the holon towards its objectives.
 
  
Agency in the holon performs the queued activities resulting local change described by an activity stream. Activities are assigned to timeslots in a schedule so that agency can be organised into arbitrarily many threads of operation. In other words, the roles in the organisation all carry out their day-to-day operations in a local shared context together.
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This structure of timeslots is a model of computation where each holons instance-scope follows the form and dynamics of the blackboard pattern. The execution takes the form of ''production rules'' where actions are performed by sibling agents in response to conditions evaluated against the local shared blackboard state.
  
Activities occur in the context of an instantiated holon forming a tree of experiential threads. Activities are book in future time slots, the work the represent is performed in the present, and they end as a description in an activity stream.
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Each timeslot connects sequentially to the timeslot in the same context the previous time focus arrived there which forms a chain. From the perspective of an agent receiving focus in that context, this chain seems like a continuous thread of time. So the tree of timeslots is actually a tree of ''threads''. In this way local instances can access the state at any time in the past.
* operational
 
* assistant
 
* maintaining the representation
 
* activity stream
 
  
=== Curation (BL) ===
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Instances can also refer to the future by linking to timeslots that have not yet received any focus which opens up the possibility of scheduling and planning in the future.
We call this ''curation'' because it's all about improving the ontological structure and organisational state representation. Increasing its accuracy, maintaining it more efficiently, adapting it to better fit local needs, fine-tuning its objectives and so on.
 
  
AI plays another important role in the holarchy, which can be summed up as ''curation'' of the ontology. Refinement, diversification and assessment of the ontology. These are all things we've discussed above as important aspects of the holarchy protocol, but in reality these things require a level of commitment that we can't expect from users who don't have the spare time or motivation for this. AI allows the vast majority of curation work to be completely automated with just some general heuristic imperatives to guide it. Curation is a role that AI is perfectly suited for managing and delegating down to simpler agency in most cases. using this approach the local representations and ontology will be orders of magnitude richer than would be possible with human users alone.
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An account of any actions performed that lead to change of state is logged as part of the blackboard state and becomes immutable history. The change is accounted for in a kind of "ontological log entry" called an ''activity'' associated with the timeslot on the time line at that scale. The activity stream is an instance's timeline as a thread of focus. This is the foundation structure of the holarchy as a cognitive agency, which will come back to soon.
* on the biz - for the purpose of the biz
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* going back to the packages of rules and conditions
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Conditions can be evaluated in real-time by subscribing to activity streams rather than "polling" the informational representation. Conditions are simple abstractions extending the representation, but higher abstractions like queries or reports work just the same way, and can serve as conditions.
** use pattern language as intro to rules-based organisation
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* on the biz is like package management
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It's very similar to a blockchain where each timeslot records all the action accounts that occurred within it forming a block of changes connected into a historical chain. The instance's informational representation can be built by "replaying" the historical record of changes, so the representation is more like a cache that the system is not dependent on; the immutable history of events is the source of truth, not the informational representation.
* integration, usage statistics, reports, adaptation
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* classification
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Agency in any scope can refer to other local items by class-name and can also navigate to past and future timeslots too. This is like a process in calendar event timeslot being able to refer to previous and subsequent timeslots in which that same event occurs.
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This standard way of talking about future and past is available in any context at any scale whether it be a simple parameter or an entire organisation. It allows us to clearly define objectives or problems and behaviours to achieve or resolve them.
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This common understanding across all classes of the flow of time is the foundation of the autonomy of a holon. The thread, persistent scope and the evolving representation of reality give the instance an autonomous subjective perspective.
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===== Production rules =====
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* more on how production rules standardise process definition to support merging and mixins
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The ''control flow'' aspect of the system (i.e. the flow of the program due to conditions, loops and function calls etc) is all encoded directly into the structure itself, rather than being determined by the production rules. In other words, production rules are a ''declarative'' paradigm, they do not refer to program flow or program mechanics in any way, they just involve the local "blackboard" state.
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The actual performance of actions and the means by which conditions are evaluated in the local instance-scope are left to the local agency, but presented by the organisational environment in language which is appropriate to them. This is similar to the idea of ''internationalisation'' of interface messages, where each message has a key identifying its meaning and context, and has many variations of the message within catering to different languages. But in the case of the holarchy, this methodology applies to all kinds of domain-specific languages and local preferences as well.
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===== The life-cycle of an instance =====
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A holon goes through different phases of operation in a repeating cycles which play a similar role to the seasonal changes and the effect these changes have on operations.
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These phases can be thought of from the subjective participatory perspective as a sort of general "template life-cycle" for a typical instance. This cycle can be thought of as continuous similar to the alternating seasons, or in the case of one-off processes it's more like a typical template for a holon on its journey from birth to death.
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Although a simple cycle of the same four phases, the arbitrary width and depth of the holon structure allows for arbitrarily complex "lives". In other words, every year, day or moment follows this same life-cycle pattern of four phases.
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An instance or an organisation is like a story, it can even start as a simple hand-wavey idea, but it has ''purpose''. It slowly collects attention and resource becoming more manifest, until it's more like a ''user story'', a story that is defined clearly in terms of specific roles, interfaces and resources.
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Typically, instantiation is the process by which a class establishes itself into an actual live organisational context. This can be thought of as ''installation'' and is analogous to ''onboarding'' in a human organisation.
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Once the instance is established it then enters its ''operational'' phase where it carries out its objective.
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Instances can be one-off jobs, which enter a closing-down phase when they're completed. But many instances are not one-off, they're continuous behaviour patterns. They can still be easily removed or changed, activated and deactivated, but while they're instantiated and active they operate as a continuously improving and evolving holon.
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In the holarchy, all the phases of the instance lifecycle are continuous. The local circumstances or the class itself could change at any time requiring various internal refactoring and refitting. We'll go into more detail about these phases when we get to the discussion of ''the four quadrant model'' further on.
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===== First-class citizens =====
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* this section is the conclusion of being an instance - does it cover everything?
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All holons are "first class citizens" in that they all have the same fundamental system of organisation in common, and they all have the potential to evolve into anything over time.
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* mention relation to all equal under the law here?
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In the context of programming languages, a ''first-class citizen'' is an entity which supports all the operations generally available to other entities. These operations typically include being passed as an argument, returned from a function, and assigned to a variable. In most OO contexts, objects are first-class citizens, meaning they can be instantiated, manipulated, and passed around in the code just like other basic data types.
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The holarchy is not a programming language or OO environment in the traditional sense, since it's a higher level of organisation which is language-agnostic. But we use the tern regarding holons to imply that every holon instance has all the same inherent abilities and treatment as every other holon instance, regardless of it's depth in the hierarchy of instances, its complexity or simplicity.
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Another important related aspect is that all first-class citizens are able to be understood and progressed by general agency if it's available in the context. They all have the potential for autonomy and continuity of perspective in linear-time. And they all have the potential to evolve in any direction. It's completely plausible that a holon that starts life as a simple piece of information could eventually evolve into a thriving international organisation.
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==== Classes (from the agents perspective) ====
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* this section is describing what its like for agents being in an environment backed by a co-evolving ontology, and how they form the background for instances to follow
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* the high-level purpose of a class is to be a package of actionable knowledge
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Classes in the holarchy are not things that are designed independently outside the runtime, they're a dynamic product of their instances; interdependent and co-evolving together in the same space. One important consequence of this is that the development of the "programs" (which is essentially the creation and adjustment of class structure) takes place in the same evolving space as the running instances of these "programs".
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Note that we put the word "program" in quotes above. This is because classes are not defined in terms of program code, but rather are ''collections'' of production-rules (condition-action pairs) which, being of such a standard form, permits their global organisational independently of their complexity or purpose. We'll come back to this soon.<ref>Note that production rules may well be program code, but the point is that the class-instance organisational mechanism is agnostic to the content of the rules themselves. The OO layer organises production rules, but does not participate in their apprehension or execution.</ref>
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===== Class-scope =====
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* just a short intro because this section is about class from the perspective of instance-scope, class-scope will be discussed below in "the mechanism" section
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The ''class-scope'' is information that is public and shared amongst all the instances of a class unconditionally. This scope is super-public and cannot be restricted in access at all, we call this kind of super-public scope ''non-local''. In the holarchy, non-local also implies scale-independence.
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Even though class-scope has the special property of being non-local in our system, there's still an equivalent concept in traditional OOP. A couple of traditional class-scope examples are ''static'' methods or properties and the ''factory'' design pattern.
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* this is the integrative behaviour
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* class-scope means abstract, not associated with a specific location or time
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* the process takes the form of the evolutionary loop and forms the class-tree
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* class-scope, class-tree and class-state (background, default)
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merge: The factory pattern executes in ''class-scope'' which can be thought of as the class sending a representative to the local context in which the instance is being requested. The representative can assess the local needs in detail and then decide on the most suitable sub-class for the situation.
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===== The factory pattern =====
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* this should be just an intro, and more detail at the pattern level in the inherent patterns section
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* the factory pattern is essentially about what processes operate in class-scope
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The so-called ''factory'' design pattern is a foundational concept in OOP which permits new objects to be instantiated without knowing of which specific class that the created instance will be.
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Essentially, a general class will be requested to carry out some particular purpose, and this general class will determine the most suitable specific sub-class to instantiate. Often the factory pattern will also instantiate the new class with various parameters fine-tuned to the specifics of the context.
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In the holarchy, this class-scope aspect is very important, process operating in this scope can be thought of as "factory processes" in the sense that they're all about using the knowledge from the class as a whole to "install" instances locally using the most ''fitting'' classes and capabilities of the class, while also ensuring that no wasted resource is being used for redundant aspects.
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The factory (integrative) processes in the holarchy are also responsible for the integration of the knowledge from all the instances of the class too. The process of "installation" involves a deep penetration into the local context to understand every aspect of it, while at the same time interfering as little as possible. The knowledge gained from this process is extremely valuable to the class as a whole, since so many other installations will involve the same patterns and issues.
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The factory processes in class-scope is really what the integrative behaviour of a holon is, and it is completely aligned with the primary objective of the holarchy as a whole. For this reason we often refer to it as the ''objective layer'' or the ''upper ontology''.<ref>We used to use the term ''foundation ontology'', but this is primarily holistic not primarily reductionist, so the most fundamental level is root above (in an inverted tree model)</ref>
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====== Continuous factory ======
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In reality, circumstances in both the class and the local context change over time, so if the same instance had been instantiated at a later time it may have been structured differently during it's "installation".
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As we discussed above in the ''instance life-cycle'', all the processes in a holon are loosely-coupled and continuous. Although the factory phases is the first thing that needs to happen in the life of an instance, it's always possible that it may become active again to ensure that the sub-classes used and their structure are continuously "fitting" to meet the dynamic local circumstances.
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===== Variations =====
 +
We still need to introduce variations and the ontological structure of classes here, but remembering that we're coming from the instance-scope perspective
 +
 
 +
===== Ontology =====
 +
* the high-level purpose of a class is to be a package of actionable knowledge
 +
* the mergability of production rules due to the blackboard model, leading to ease of combination
 +
* outro: the ultimate form of these packages and map of variations is the ontology, the collective map into the state of resource flow - but remember this is from the perspective of being an instance
 +
 
 +
==== The class-instance mechanism ====
 +
So far we've introduced the holarchy system in terms of what those concepts are from the perspective of an operating holon in it's local instance-scope. In this section, we introduce the objective "nuts and bolts" mechanism which results in the two behaviours and the class and instance concepts, as well as the individual and collective forms they both take.
 +
 
 +
This mechanism is responsible for bringing about the instance-scope, and so it operates outside of instance-scope, which is to say in ''class-scope''.
 +
* it's here that we start to see how class and instance work in the integrative way to contribute to a collective system... more about p2p collective aspect... and that ontology/market are the final results which will be detailed more below
 +
 
 +
===== Two trees =====
 +
In terms of data structure class and instance are a pair of graphs that each relate holons ("object instances") together in their own grouping structure. We call them trees, although technically only the instances are connected in the form of a true DAG (directed acyclic graph or one-to-many tree), the classes are connected as a more general semantic network.
 +
 
 +
These trees are very much like traditional OOP where there is a structure of live actualised instances and an ecosystem of classes from which instances are instantiated and which determines how they operate.<ref>Although classes and instances are interdependent in our system, the instance-tree is considered to be ultimately primary, and the class-tree derived. But from an instance's subjective perspective, it sees itself as having started as a class, and this is always true except in the case of the root where it's only logically true.</ref>
 +
 
 +
The instance-tree in the holarchy system is easily understood because it's much like a runtime structure of object instances in any traditional running OO program.
 +
 
 +
But the class-tree is conceptually more difficult to grasp, because it's very different to traditional OOP, due to the aforementioned interdependence with their instances, and their lack of program code. However familiarity with the ''mix-in'' style of OOP classes can help in understanding classes as collections of production-rules that can be merged together to form complex patterns functionality.
 +
 
 +
The class tree is an informational graph connecting instances and their classes into a semantic map. Individual classes are packages of knowledge and production-rules (condition-action pairs). Since this method of defining function does not involve grammar, packages can be easily merged into more complex patterns.
 +
 
 +
The class tree is created by a global process of merging all variations of the class across all the instances of it in the tree. The class tree does not define how variations can arise, just how to integrate them into a global whole if they did arise. This tree defines the structure of classes, and as a whole defines the shared unified ontology of classes.
 +
 
 +
The merging of variations essentially means that the parent-child relationships in this tree are not black and white, but rather each relationship is itself a tree of optional variations where prominence is based on local relevance based on condition and usage metrics.
 +
* this paragraph is not very clear
 +
 
 +
Instances take on the form defined by their respective classes, and the classes are the collective product of their instances. So the class-instance relationship is itself in the form of a co-evolving feedback loop just like the two behaviours are as well.
 +
 
 +
When we talk about the "systemic", "ontological" or "structural" aspect of a holon, we're talking about its class-tree aspect. This aspect of the holon is ''abstract'' because it is has no specific location or time.
 +
* mention here that class-addressable memory works over time?
 +
 
 +
===== Multiplexing =====
 +
The two trees are created, maintained and related by a simple process called ''time-division multiplexing''.<ref>Multiplexación in Spanish.</ref> This is a process by which a continuous flow of executional focus is quantised into atomic (O<sub>1</sub>) units which cyclically iterate the entire instance-tree structure.<ref>Quanta need to be atomic, but different executional contexts will gravitate to different atomic sizes for their average quanta.</ref><ref>This multiplexed instance-tree defines the fundamental meanings of ''space'' and ''time'' in our system. Space is the structure itself, including its ability to contain further structure or arbitrary content. Time is the continuous perspective that is represented by each node (holon) due to the regular cycle of focus it receives.</ref>
 +
 
 +
This iteration process is a movement of executional focus from one node to another. When focus enters a node it's akin to the calling of a method function in traditional OOP, because it's moving down into a more specific context that is deeper within the structure. Conversely the leaving of focus corresponds to the returning from a functional call back up the tree to the "caller" above. The movement down is a process of division of focus, and the movement up is a process of information integration, aggregation and propagation upward and outward.
 +
 
 +
The ''control-flow'' paradigm is an integral part of the structure, rather than being determined by the program code of method functions.
 +
 
 +
As with traditional OOP, the vertical directionality gives rise to a structured scope system where there is an outer public side and an inner private side to every node. These correspond to the outward-facing and inward-facing concepts in Koestler's model.
 +
 
 +
In the holon, the kind of time being multiplexed is executional attention (more generally ''agent attention''). The multiplexing movement of focus throughout the structure is a repeating pattern determined by the structure itself. This pattern exhibits a continuous bidirectional flow of function-like calling and returning.<ref>The multiplexing pattern of focus moving amongst the scopes is what creates hierarchy and its return. It's just a flat graph, but the movement of focus over time creates the subjective perspective of hierarchy. The return flow makes possible the sharing of structure amongst these perspectives.</ref><ref>Multiplexing is deeply connected to the concept of hierarchy when we consider that hierarchy depends on time, not only space.</ref>
 +
 
 +
Multiplexing is a ''scale-independent'' process, which means that the same dividing process applies to arbitrary depth, forming a hierarchy of threads from what is ultimately just a single thread. The width or depth of any local group of threads is all arbitrary and can change dynamically.
 +
 
 +
The cycle of top-down and bottom-up movement is used to create the class-tree. Since the process is responsible for dividing the executional focus throughout the whole instance tree cyclically, it also has the option of using a portion of that focus unconditionally for maintaining the class-tree.
 +
* need to introduce non-local here being the commonality of all local is the p2p pattern
 +
* non-local operation must be a scale-independent operation
 +
 
 +
Classes are not associated with any specific time or location, which is why the class-tree is called ''abstract'' and ''non-local''.
 +
 
 +
The two trees define the different scopes of operation within the holarchy system. The class-tree defines ''non-local scope'' which groups all instances of the same class together regardless of their whereabouts in the holarchy.<ref>The non-local connection of an instance to its class-group does not occur instantaneously, it only appears so from the local POV since it happens ''between'' successive quanta of focus at that level.</ref> The instance-tree defines ''public scope'' and ''private scope'' which correspond to a specific location and time-slot.
 +
* public is not necessarily actually public, it simply means ''not encapsulated''
 +
 
 +
===== Linear time =====
 +
The multiplexing movement of focus is such that quanta of focus always flow into the present time slot at every level in the instance-tree. This means that every node in the tree receives regular focus and so can be a further holon within. This regular pattern makes all holons into threads as a linked sequence of time-slots.
 +
 
 +
By also maintaining back-links between consecutive time-slots, both future and past are made available to the autonomous agency apprehending the local focus within. The mechanism makes the past immutable and leaves the future open for local collaboration within.
 +
 
 +
In multiplexing, time takes the form of a hierarchical schedule just like we naturally use ourselves by using a shared range of time intervals that are rationally related; seconds ... years etc.
 +
 
 +
===== Variations =====
 +
In this section we need to go into the details of the class-tree structure being based on variations
 +
* variations are a group of sub-classes
 +
* variation prominence by establishment-in-usage
 +
* an instance's class may change over time to another variation
 +
* an existing variation may be instantiated, or a new class may be added
 +
* this is source of adaptation
 +
 
 +
===== Conclusion =====
 +
This multiplexing mechanism permits any "experiential" structure, i.e. combinations of holons of various types; some of specific types, some of general types, some informational, some agentic etc, all in a manifest state of instance, experiential, developing in time within an evolving society.
 +
 
 +
But these are just speculations so far. Thinking in terms of an offline-first network of organisations constituted from informational resources, agents and users all together in a evolving market ecosystem is a down-to-earth enough level to develop and deploy and that's where our main focus is in our instance of the universal holarchy project.
 +
* FCC, recursion, scale-independence are all directly related
 +
* every instance is a beginning of infinity (DD)
 +
* infinite potential, scale independent
 +
* scale-independence also means that children may be more complex than their parents
 +
 
 +
== References ==
 +
<references />
  
 
== See also ==
 
== See also ==
 
*[[Holarchy]]
 
*[[Holarchy]]
 +
*[[Four quadrant holon philosophy]]
 
[[Category:Holarchy]]
 
[[Category:Holarchy]]

Latest revision as of 22:37, 4 May 2024

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Class and instance

The other top-level dichotomy in Koestler's holarchy model is of fixed rules and flexible strategies, which refers to the composition and organisation of the behaviour patterns. In our system, we refer to these as class and instance since they are a far better match for these concepts in the information technology context.

The class aspect of objects is analogous to Koestler's fixed rules, it defines structured possibility space within which instances can select and enact appropriate activities from all the possible ones. Koestler's fixed rules provide a repertoire of behaviours corresponding to the conditions under which they apply. In other words, classes define possibility; how an instance of it would behave if various conditions were the case.

The OO system that is used by a high-level programming language is fundamentally about classes and instances (even if they don't explicitly take those names), because all OO is about the organisation of implementation details into encapsulated packages behind established interfaces. The word "class" refers to the packaging aspect of this organisational process, and "instance" to an actual executing occurrence of a package. The difference between different kinds of OO languages is about the different ways of organising of the packaging and deployment of common functionality.

This general functional organisation that class and instance provide is exactly the purpose of the holon model as well. But a holon extends this idea to serve not only its local individual objective, but also serves the integrity of the whole formed by all holons. We can say that traditional OO defines just the self-assertive behaviour, but the holon model extends it to include the integrative behaviour as well.

Evolution and knowledge go hand-in-hand, one does not exist without the other, because they depend on each other and on the previously mentioned dependent dichotomy of society and individual.

Evolution is actually a class-instance system itself, because the evolutionary knowledge is captured in re-usable "packages" (genes and species), but cannot express itself or develop without individuals to actualise it. Individuals are encapsulations of actualised knowledge, and the society is an ecosystem of the combinations of such encapsulations that have become established in usage.

Class and instance are interdependent, instances are created in the form of their class, but yet the class (as a p2p collective) is merely the totality of all the instances of it. Even though they're interdependent, instance is primary and class is the derived principle. This is the same situation as with the individual and collective mentioned above. It's also similar to cause and effect, they're two sides of the same coin, one following the other.

When thinking about OO programs, we usually think of the class structure as a static structure built from program code, and the instances as existing in the runtime space of an actual live running instance of the program. But here we're talking about the design of the actual OO environment itself.

In any "OO program" built within this environment, both the classes and instances exist in the single unified "runtime" space of this live running OO environment. In other words, classes and instances go hand-in-hand, they cannot exist independently of each other, they are both features of the runtime space of the OO system.

All organisation, knowledge and meaning within the holarchy can be looked at in the dual light of how it works and what it's like. How something works, means a model of it in actionable terms, and this takes the form of structured classes (classes that represent further class structure within, a pattern). What something is like can only be known by participating in it, or in other words representing a particular operating example of a class-tree, which is to say an instance structure of the class. A class-tree is referred to by one class. A class is an actionable model.

In the following sections we'll discuss class and instance in more detail, first talking about instance and then class both in the context of what they're like from the perspective of a running instance. Then we'll talk about how they work as an actual mechanism that produces this perspective.

Being an instance

A holon is an individual with it's own "subjective" point of view (POV) and internal private "mental" world of intention and state. All holons find themselves to be within a public arena populated with other holons.

A actualised "live" holon is an instance, it has been instantiated and operates continuously through time. This section introduces this situation from the perspective of what it would be like to be the operating instance, seeing the world through its "eyes" from behind its public interface.

Instance-scope

Normal OO object instances have a private internal persistent state for their operational memory, their scope of operation. The persistent state is a structure of class names all representing local information and further instances within.

Instances are containers of state and associated functions. In a holon these functions are sibling holons, which may have further organisation within at a smaller scale of holon operation, or they may be foreign agency. The two scenarios make no difference from the perspective of the holon in question, because the complexity or simplicity within these child holons is also encapsulated behind their public interface.

The scope is a namespace, a list of all the things that exist directly by reference to only their name. It's scope that allows for the distinction between public and private. It's a flat (non-hierarchical) list because we do not have any access inside the siblings since their internals are private to them.

All scope is essentially a set of unique identifiers representing other instances, agents, information or resources etc. Private scope is private because only functions (or agents) referred to in that specific scope have access to it. None beyond or within can see it.

The instance scope is persistent, existing for the life of the instance, they're an informational context shared by the group of functions and other agents that constitute the instance. All the siblings in the group interact with the scope they all share, rather than co-ordinating with each other directly, i.e. operating in accord with the Blackboard pattern (described in the preliminary concepts).

With the concept of private scope comes the complimentary concept of public scope. A holon can mark any of its private scope that it chooses to as public. This doesn't mean that it actually is public in the sense that anyone can see it, just that its accessible to the containing scope (which we call "beyond", "above" or "parent").

This aspect that is made available beyond, is called the public interface, and works the same way as private and public scope work in traditional OO instances. The public aspect is presented to the parent scope by the local agents collaboratively.

Agency

In the context of the holon, "agency" and "agent" refers to the ability to apprehend state and instructions and perform any actions that may be implied by them. The actual actor involved could be a user, AI, an API or OS, a domain-specific language interpreter or many other things. The holarchy is an organisational system which is agency agnostic.

A holon instance is an abstract informational representation of something real in the world that's being organised. In other words it's able to represent itself as a holon within the holarchy, as an instance within another (parent) instance. The instance's informational content is a representation in the same sense as the body schema described in the preliminary concepts.

Instances map foreign informational domains into the holarchy, presenting them primarily as what they conceptually are in the ontology, and with the working details encapsulated within their private scope. Those details may be further holon structure within, or may be pure foreign agency.

The "fingers" of the ontology slowly reach in to any holon ever more deeply, mapping the information state and sibling agents ontologically, developing the territory within into more refined ontological representation. An inherent attribute of the holon environment is penetration, the ontology automatically spreads to be an ever more accurate conceptual abstraction of the reality it interacts with.

More complete and accurate abstract representation yields more diverse and complex interaction and the opening up of new potential for organisation and re-use. We'll come back to these aspects more in the AI integration section.

Regardless of their agentic complexity, it's fair to say that all instances have a subjective local point of view consisting of the information and threads of activity within their instance scope. They find themselves to be in an organisational context consisting of other sibling instances of various classes encapsulating their agency within and presenting their state publicly for apprehension by the other siblings.

The organisation context these siblings find themselves within is itself an instance, and the siblings public states all together make up the presented public state for the parent context beyond.

Continuity

Each instance context is one of a group of sibling holons sharing a local persistent instance-scope. The siblings are all continuous threads of execution with shared access to an immutable past and a collaborative future as an inherent attribute of the scope. We'll go into the mechanics of these threads and time soon, but in the section we describe the continuity in the general terms of what it's like from the perspective of an instance operating within the scope.

Instances are actualised class patterns, classes representing further class structure within. In terms of the continuity of time "experienced" by an instance, the threads are hierarchical which permits arbitrarily complex systems and stories; trees of timeslots. Since classes can specify that instances of them act in response to complex conditions, structure can be highly dynamic and meaningful.

This structure of timeslots is a model of computation where each holons instance-scope follows the form and dynamics of the blackboard pattern. The execution takes the form of production rules where actions are performed by sibling agents in response to conditions evaluated against the local shared blackboard state.

Each timeslot connects sequentially to the timeslot in the same context the previous time focus arrived there which forms a chain. From the perspective of an agent receiving focus in that context, this chain seems like a continuous thread of time. So the tree of timeslots is actually a tree of threads. In this way local instances can access the state at any time in the past.

Instances can also refer to the future by linking to timeslots that have not yet received any focus which opens up the possibility of scheduling and planning in the future.

An account of any actions performed that lead to change of state is logged as part of the blackboard state and becomes immutable history. The change is accounted for in a kind of "ontological log entry" called an activity associated with the timeslot on the time line at that scale. The activity stream is an instance's timeline as a thread of focus. This is the foundation structure of the holarchy as a cognitive agency, which will come back to soon.

Conditions can be evaluated in real-time by subscribing to activity streams rather than "polling" the informational representation. Conditions are simple abstractions extending the representation, but higher abstractions like queries or reports work just the same way, and can serve as conditions.

It's very similar to a blockchain where each timeslot records all the action accounts that occurred within it forming a block of changes connected into a historical chain. The instance's informational representation can be built by "replaying" the historical record of changes, so the representation is more like a cache that the system is not dependent on; the immutable history of events is the source of truth, not the informational representation.

Agency in any scope can refer to other local items by class-name and can also navigate to past and future timeslots too. This is like a process in calendar event timeslot being able to refer to previous and subsequent timeslots in which that same event occurs.

This standard way of talking about future and past is available in any context at any scale whether it be a simple parameter or an entire organisation. It allows us to clearly define objectives or problems and behaviours to achieve or resolve them.

This common understanding across all classes of the flow of time is the foundation of the autonomy of a holon. The thread, persistent scope and the evolving representation of reality give the instance an autonomous subjective perspective.

Production rules
  • more on how production rules standardise process definition to support merging and mixins

The control flow aspect of the system (i.e. the flow of the program due to conditions, loops and function calls etc) is all encoded directly into the structure itself, rather than being determined by the production rules. In other words, production rules are a declarative paradigm, they do not refer to program flow or program mechanics in any way, they just involve the local "blackboard" state.

The actual performance of actions and the means by which conditions are evaluated in the local instance-scope are left to the local agency, but presented by the organisational environment in language which is appropriate to them. This is similar to the idea of internationalisation of interface messages, where each message has a key identifying its meaning and context, and has many variations of the message within catering to different languages. But in the case of the holarchy, this methodology applies to all kinds of domain-specific languages and local preferences as well.

The life-cycle of an instance

A holon goes through different phases of operation in a repeating cycles which play a similar role to the seasonal changes and the effect these changes have on operations.

These phases can be thought of from the subjective participatory perspective as a sort of general "template life-cycle" for a typical instance. This cycle can be thought of as continuous similar to the alternating seasons, or in the case of one-off processes it's more like a typical template for a holon on its journey from birth to death.

Although a simple cycle of the same four phases, the arbitrary width and depth of the holon structure allows for arbitrarily complex "lives". In other words, every year, day or moment follows this same life-cycle pattern of four phases.

An instance or an organisation is like a story, it can even start as a simple hand-wavey idea, but it has purpose. It slowly collects attention and resource becoming more manifest, until it's more like a user story, a story that is defined clearly in terms of specific roles, interfaces and resources.

Typically, instantiation is the process by which a class establishes itself into an actual live organisational context. This can be thought of as installation and is analogous to onboarding in a human organisation.

Once the instance is established it then enters its operational phase where it carries out its objective.

Instances can be one-off jobs, which enter a closing-down phase when they're completed. But many instances are not one-off, they're continuous behaviour patterns. They can still be easily removed or changed, activated and deactivated, but while they're instantiated and active they operate as a continuously improving and evolving holon.

In the holarchy, all the phases of the instance lifecycle are continuous. The local circumstances or the class itself could change at any time requiring various internal refactoring and refitting. We'll go into more detail about these phases when we get to the discussion of the four quadrant model further on.

First-class citizens
  • this section is the conclusion of being an instance - does it cover everything?

All holons are "first class citizens" in that they all have the same fundamental system of organisation in common, and they all have the potential to evolve into anything over time.

  • mention relation to all equal under the law here?

In the context of programming languages, a first-class citizen is an entity which supports all the operations generally available to other entities. These operations typically include being passed as an argument, returned from a function, and assigned to a variable. In most OO contexts, objects are first-class citizens, meaning they can be instantiated, manipulated, and passed around in the code just like other basic data types.

The holarchy is not a programming language or OO environment in the traditional sense, since it's a higher level of organisation which is language-agnostic. But we use the tern regarding holons to imply that every holon instance has all the same inherent abilities and treatment as every other holon instance, regardless of it's depth in the hierarchy of instances, its complexity or simplicity.

Another important related aspect is that all first-class citizens are able to be understood and progressed by general agency if it's available in the context. They all have the potential for autonomy and continuity of perspective in linear-time. And they all have the potential to evolve in any direction. It's completely plausible that a holon that starts life as a simple piece of information could eventually evolve into a thriving international organisation.

Classes (from the agents perspective)

  • this section is describing what its like for agents being in an environment backed by a co-evolving ontology, and how they form the background for instances to follow
  • the high-level purpose of a class is to be a package of actionable knowledge

Classes in the holarchy are not things that are designed independently outside the runtime, they're a dynamic product of their instances; interdependent and co-evolving together in the same space. One important consequence of this is that the development of the "programs" (which is essentially the creation and adjustment of class structure) takes place in the same evolving space as the running instances of these "programs".

Note that we put the word "program" in quotes above. This is because classes are not defined in terms of program code, but rather are collections of production-rules (condition-action pairs) which, being of such a standard form, permits their global organisational independently of their complexity or purpose. We'll come back to this soon.[1]

Class-scope
  • just a short intro because this section is about class from the perspective of instance-scope, class-scope will be discussed below in "the mechanism" section

The class-scope is information that is public and shared amongst all the instances of a class unconditionally. This scope is super-public and cannot be restricted in access at all, we call this kind of super-public scope non-local. In the holarchy, non-local also implies scale-independence.

Even though class-scope has the special property of being non-local in our system, there's still an equivalent concept in traditional OOP. A couple of traditional class-scope examples are static methods or properties and the factory design pattern.

  • this is the integrative behaviour
  • class-scope means abstract, not associated with a specific location or time
  • the process takes the form of the evolutionary loop and forms the class-tree
  • class-scope, class-tree and class-state (background, default)

merge: The factory pattern executes in class-scope which can be thought of as the class sending a representative to the local context in which the instance is being requested. The representative can assess the local needs in detail and then decide on the most suitable sub-class for the situation.

The factory pattern
  • this should be just an intro, and more detail at the pattern level in the inherent patterns section
  • the factory pattern is essentially about what processes operate in class-scope

The so-called factory design pattern is a foundational concept in OOP which permits new objects to be instantiated without knowing of which specific class that the created instance will be.

Essentially, a general class will be requested to carry out some particular purpose, and this general class will determine the most suitable specific sub-class to instantiate. Often the factory pattern will also instantiate the new class with various parameters fine-tuned to the specifics of the context.

In the holarchy, this class-scope aspect is very important, process operating in this scope can be thought of as "factory processes" in the sense that they're all about using the knowledge from the class as a whole to "install" instances locally using the most fitting classes and capabilities of the class, while also ensuring that no wasted resource is being used for redundant aspects.

The factory (integrative) processes in the holarchy are also responsible for the integration of the knowledge from all the instances of the class too. The process of "installation" involves a deep penetration into the local context to understand every aspect of it, while at the same time interfering as little as possible. The knowledge gained from this process is extremely valuable to the class as a whole, since so many other installations will involve the same patterns and issues.

The factory processes in class-scope is really what the integrative behaviour of a holon is, and it is completely aligned with the primary objective of the holarchy as a whole. For this reason we often refer to it as the objective layer or the upper ontology.[2]

Continuous factory

In reality, circumstances in both the class and the local context change over time, so if the same instance had been instantiated at a later time it may have been structured differently during it's "installation".

As we discussed above in the instance life-cycle, all the processes in a holon are loosely-coupled and continuous. Although the factory phases is the first thing that needs to happen in the life of an instance, it's always possible that it may become active again to ensure that the sub-classes used and their structure are continuously "fitting" to meet the dynamic local circumstances.

Variations

We still need to introduce variations and the ontological structure of classes here, but remembering that we're coming from the instance-scope perspective

Ontology
  • the high-level purpose of a class is to be a package of actionable knowledge
  • the mergability of production rules due to the blackboard model, leading to ease of combination
  • outro: the ultimate form of these packages and map of variations is the ontology, the collective map into the state of resource flow - but remember this is from the perspective of being an instance

The class-instance mechanism

So far we've introduced the holarchy system in terms of what those concepts are from the perspective of an operating holon in it's local instance-scope. In this section, we introduce the objective "nuts and bolts" mechanism which results in the two behaviours and the class and instance concepts, as well as the individual and collective forms they both take.

This mechanism is responsible for bringing about the instance-scope, and so it operates outside of instance-scope, which is to say in class-scope.

  • it's here that we start to see how class and instance work in the integrative way to contribute to a collective system... more about p2p collective aspect... and that ontology/market are the final results which will be detailed more below
Two trees

In terms of data structure class and instance are a pair of graphs that each relate holons ("object instances") together in their own grouping structure. We call them trees, although technically only the instances are connected in the form of a true DAG (directed acyclic graph or one-to-many tree), the classes are connected as a more general semantic network.

These trees are very much like traditional OOP where there is a structure of live actualised instances and an ecosystem of classes from which instances are instantiated and which determines how they operate.[3]

The instance-tree in the holarchy system is easily understood because it's much like a runtime structure of object instances in any traditional running OO program.

But the class-tree is conceptually more difficult to grasp, because it's very different to traditional OOP, due to the aforementioned interdependence with their instances, and their lack of program code. However familiarity with the mix-in style of OOP classes can help in understanding classes as collections of production-rules that can be merged together to form complex patterns functionality.

The class tree is an informational graph connecting instances and their classes into a semantic map. Individual classes are packages of knowledge and production-rules (condition-action pairs). Since this method of defining function does not involve grammar, packages can be easily merged into more complex patterns.

The class tree is created by a global process of merging all variations of the class across all the instances of it in the tree. The class tree does not define how variations can arise, just how to integrate them into a global whole if they did arise. This tree defines the structure of classes, and as a whole defines the shared unified ontology of classes.

The merging of variations essentially means that the parent-child relationships in this tree are not black and white, but rather each relationship is itself a tree of optional variations where prominence is based on local relevance based on condition and usage metrics.

  • this paragraph is not very clear

Instances take on the form defined by their respective classes, and the classes are the collective product of their instances. So the class-instance relationship is itself in the form of a co-evolving feedback loop just like the two behaviours are as well.

When we talk about the "systemic", "ontological" or "structural" aspect of a holon, we're talking about its class-tree aspect. This aspect of the holon is abstract because it is has no specific location or time.

  • mention here that class-addressable memory works over time?
Multiplexing

The two trees are created, maintained and related by a simple process called time-division multiplexing.[4] This is a process by which a continuous flow of executional focus is quantised into atomic (O1) units which cyclically iterate the entire instance-tree structure.[5][6]

This iteration process is a movement of executional focus from one node to another. When focus enters a node it's akin to the calling of a method function in traditional OOP, because it's moving down into a more specific context that is deeper within the structure. Conversely the leaving of focus corresponds to the returning from a functional call back up the tree to the "caller" above. The movement down is a process of division of focus, and the movement up is a process of information integration, aggregation and propagation upward and outward.

The control-flow paradigm is an integral part of the structure, rather than being determined by the program code of method functions.

As with traditional OOP, the vertical directionality gives rise to a structured scope system where there is an outer public side and an inner private side to every node. These correspond to the outward-facing and inward-facing concepts in Koestler's model.

In the holon, the kind of time being multiplexed is executional attention (more generally agent attention). The multiplexing movement of focus throughout the structure is a repeating pattern determined by the structure itself. This pattern exhibits a continuous bidirectional flow of function-like calling and returning.[7][8]

Multiplexing is a scale-independent process, which means that the same dividing process applies to arbitrary depth, forming a hierarchy of threads from what is ultimately just a single thread. The width or depth of any local group of threads is all arbitrary and can change dynamically.

The cycle of top-down and bottom-up movement is used to create the class-tree. Since the process is responsible for dividing the executional focus throughout the whole instance tree cyclically, it also has the option of using a portion of that focus unconditionally for maintaining the class-tree.

  • need to introduce non-local here being the commonality of all local is the p2p pattern
  • non-local operation must be a scale-independent operation

Classes are not associated with any specific time or location, which is why the class-tree is called abstract and non-local.

The two trees define the different scopes of operation within the holarchy system. The class-tree defines non-local scope which groups all instances of the same class together regardless of their whereabouts in the holarchy.[9] The instance-tree defines public scope and private scope which correspond to a specific location and time-slot.

  • public is not necessarily actually public, it simply means not encapsulated
Linear time

The multiplexing movement of focus is such that quanta of focus always flow into the present time slot at every level in the instance-tree. This means that every node in the tree receives regular focus and so can be a further holon within. This regular pattern makes all holons into threads as a linked sequence of time-slots.

By also maintaining back-links between consecutive time-slots, both future and past are made available to the autonomous agency apprehending the local focus within. The mechanism makes the past immutable and leaves the future open for local collaboration within.

In multiplexing, time takes the form of a hierarchical schedule just like we naturally use ourselves by using a shared range of time intervals that are rationally related; seconds ... years etc.

Variations

In this section we need to go into the details of the class-tree structure being based on variations

  • variations are a group of sub-classes
  • variation prominence by establishment-in-usage
  • an instance's class may change over time to another variation
  • an existing variation may be instantiated, or a new class may be added
  • this is source of adaptation
Conclusion

This multiplexing mechanism permits any "experiential" structure, i.e. combinations of holons of various types; some of specific types, some of general types, some informational, some agentic etc, all in a manifest state of instance, experiential, developing in time within an evolving society.

But these are just speculations so far. Thinking in terms of an offline-first network of organisations constituted from informational resources, agents and users all together in a evolving market ecosystem is a down-to-earth enough level to develop and deploy and that's where our main focus is in our instance of the universal holarchy project.

  • FCC, recursion, scale-independence are all directly related
  • every instance is a beginning of infinity (DD)
  • infinite potential, scale independent
  • scale-independence also means that children may be more complex than their parents

References

  1. Note that production rules may well be program code, but the point is that the class-instance organisational mechanism is agnostic to the content of the rules themselves. The OO layer organises production rules, but does not participate in their apprehension or execution.
  2. We used to use the term foundation ontology, but this is primarily holistic not primarily reductionist, so the most fundamental level is root above (in an inverted tree model)
  3. Although classes and instances are interdependent in our system, the instance-tree is considered to be ultimately primary, and the class-tree derived. But from an instance's subjective perspective, it sees itself as having started as a class, and this is always true except in the case of the root where it's only logically true.
  4. Multiplexación in Spanish.
  5. Quanta need to be atomic, but different executional contexts will gravitate to different atomic sizes for their average quanta.
  6. This multiplexed instance-tree defines the fundamental meanings of space and time in our system. Space is the structure itself, including its ability to contain further structure or arbitrary content. Time is the continuous perspective that is represented by each node (holon) due to the regular cycle of focus it receives.
  7. The multiplexing pattern of focus moving amongst the scopes is what creates hierarchy and its return. It's just a flat graph, but the movement of focus over time creates the subjective perspective of hierarchy. The return flow makes possible the sharing of structure amongst these perspectives.
  8. Multiplexing is deeply connected to the concept of hierarchy when we consider that hierarchy depends on time, not only space.
  9. The non-local connection of an instance to its class-group does not occur instantaneously, it only appears so from the local POV since it happens between successive quanta of focus at that level.

See also