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EC Container 5

Stored Purpose - Organizational Ecology

Stored Purpose - a new approach to computing leveraging the current capability of information science

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Abstract

One of the more interesting discoveries in our work with man-made genetic systems, which include the fundamental Existence Model Architecture (Ema) and higher level existential architectures such as Mica, is that it is possible to write Purpose (purpose hypergraphs) that span multiple disconnected entities. Much like the community of bacteria, animals, plants and archaea of a forest or pond, a single collection of genetic Forms can be composed to achieve some Purpose and then divided to create an almost unlimited number of Ema agents. These agents, regardless of the quantity or level of division, will comprise a Purposeful organization, an ecology capable of sustaining the originally defined Purpose. More interesting, these separate entities will communicate and act in a coordinated fashion, even when there is no evident communication between the entities and/or no specific communication capabilities held by the entities. This, we believe is due to the dual timespace nature of genetic systems. When entities share Purpose in the Construction timespace, they remain in communication, even when there is no direct information exchange in our Expression timespace.

In this paper, we describe the current state of understanding of organizational ecology, as will occur in man-made multi-agent genetic systems. Such systems form the architectural basis for proposed intelligent cloud infrastructure, the stored purpose metacomputer and conceptual metro-regional omega infrastructure. Although a design correlation between man-made and natural genetic systems may seem obvious, no attempt is made in this paper to prove this so. The goal of this paper is simply to report on natures of man-made genetic organizations as best understood today.

Existence Level 8 - Organizational Ecology

On the design of Organizations

Organization Existence

An organization is a single purposeful entity comprised of multiple agents. These agents will act as the organization’s body and execute its Purpose.

An organization is a purposeful part in a greater ecosystem. The greater ecosystem will also be an organization. The top most organization for all organizations will be the container of all organizations, i.e. the planet’s ecosystem.

The resources of an organization will be resources of the greater ecosystem.

An organization that is not a planet’s ecosystem will be one of peer organizations within the ecosystem.

An organization’s Purpose is its aggregate collection of Goals defined in Construction.

An organization’s Self is its aggregate states in Expression, a collection of contexts where the organization employs technology to pursue Goals. Self is the location of the organization at time Now, or Reality. Self is what is aligned by the organization with its Purpose.

An organization’s Identity is the totality of its existence, Purpose expressed as Self and all regulatory features, capabilities and resources known to it.

Goal Pursuit within an organization is any effort to sustain its Identity.

A minimal Goal pursuit capability at a point in context requires member agents: 1) measure states, 2) compare alignment with Purpose, and 3) align organization states with Purpose.

An organization exists at each location in context space where it can pursue Goals to align states of the organization’s Self in Expression context with its defined Purpose. Conversely, an organization does not exist at any point in context where it cannot pursue Goals.

Agency

Redundancy Rule: An organization’s Purpose will be distinctly held by at least two agents.

This is the nature of an organization. As the aggregate Purpose of any group of agents can be defined as a single agent, when the number of agents in a system increases, to comply with the law, there must be for each point of context within its Purpose, minimally be two agents able to employ technologies to align the organization’s states with Purpose.

Divisibility Rule: An organization’s Purpose may be divided among any number of agents.

This is the nature of the dual Construction - Expression timespace model. When two agents share Construction, they are “of the same mind” and capable of cooperative Goal Pursuit in expression.

An agent of an organization may be simple, thus incorporating no component agents in its body, or complex, thus an organization onto itself.

An agent of an organization will host all or some of the organization’s Purpose. As the organization is a resource of a greater ecology, an agent’s Purpose for the organization will also be Purpose for the greater ecology.

An agent of an organization may host foreign Purpose not aligned with the organization for contexts that may or may not be within the contextual space of the organization.

When an agent’s Purpose lay outside the organization's contextual space, yet serves Goals of the greater ecology, the agent’s Purpose will increase the knowledge available to the organization. This knowledge will increase the organization’s purposeful ability within the greater ecology. When the agent is beyond the boundaries of the organization’s context, the agent and it’s knowledge will serve the greater ecology. An example is a bee with Purpose to pollinate a snapdragon flower that is not part of a lake ecology. The pollination technology in the bee’s Purpose becomes knowledge available to the lake ecosystem organization and the bee becomes an agent of the greater ecosystem whenever in the context of snapdragons.

When the foreign Purpose lay outside the contextual space of both the organization and the greater ecology, it’s Purpose becomes knowledge available to the organization and greater ecology. An example would be an ability to breathe and extract oxygen from an atmosphere of water, carbon dioxide, and hydrogen sulfide as existed on earth four billion years ago. The hemoglobin oxygenation technology would be knowledge available to the system in the event a contextual state condition were created to employ it. Yet, as this knowledge would not be applied to contexts within the organization, it would not be maintained by regulatory Purpose of the organization, and thus would not be preserved by Goals of the ecosystem.

When foreign Purpose lay within the contextual space of the organization and thus the greater ecology, this Purpose will conflict with the organization’s Purpose, sustaining Goal Pursuit that is counter to Goals of the organization. The agent will be out of communication with the organization for all such contexts. The agent will not exist as a Purposeful agent within these contexts to the organization.

Utility

An agent has utility to an organization when it hosts an organization’s Purpose and can pursue Goals to align the states in Expression for a context with the hosted Purpose. When an agent pursues Goals of utility to an organization, it serves the organization.

The scope of an agent’s utility to an organization is the collection of contexts in which the agent serves the organization.

An agent’s utility to an organization will be limited to those contexts where its Purpose is exclusively aligned with the organization. When an agent hosts Purpose for an organization’s context that is not aligned with the organization, its Purpose is an offsetting force to Purpose alignment within a system and becomes negative utility.

Negative utility diminishes the Purposeful system as any regions of context subject to negative utility moves in a direction that is counter entropic to the system.

An agent can be of utility to the contexts of multiple organizations, when in contexts of either organization’s Purpose, its Purpose is exclusive to one organization or fully aligned with each organization. Conversely, an agent will be of no utility to either organization if hosts different Purpose at a single point of context shared by both organizations.

Multiple organizations can share identical Purpose for a given context. In such contexts, an agent serving either organization will be an agent of both organizations and of utility to both organizations. Similarly, the organization sharing Purpose of another organization, will become an agent serving that organization and of utility to that organization, whenever one of its agents pursues Goals for a shared context.

Regulatory Purpose

An organization’s existence sustains only at any locations in context space where it can pursue Goals to align states of the organization’s Self in Expression context with its defined Purpose.

Thus to exist, an organization must have Purpose not only at a location in context, but Purpose to sustain Goal Pursuit at that context.

As Goal Pursuit requires the ability to sense and align each domain of states and transitions, an organization must sustain resources to sense and align the elements of Goal Pursuit at each point in context, which thus requires resources to sense and align each sensory domain and each alignment domain.

The elements of Goal Pursuit for each context in Purpose thus become responsibilities of the organization. The Forms of Goals necessary to become Goal Pursuit become Purpose of the system.

Goal pursuit to maintain the organization’s ability to pursue Goals and thus maintain the resources needed to pursue Goals is called regulation. Purpose that defines these goals is called regulatory.

Regulatory Purpose must exist at all points in context where the organization will exist.

Regulatory Purpose for a point in context can be the existential Purpose of a single agent or divided among many agents. As a context could be the ecology of a lake, the agent sustaining the lake could be an existential entity of type organizational ecology. As such a regulatory Purpose for a single location in context could be assigned to a complex multi-agent entity and thus distributed among many agents of the entity.

Regulatory Purpose aligns Goal Pursuit for all contexts of the organization and thus for all agents serving the Purpose of the organization in those contexts.

An agent executing organization Purpose at a context of the organization will be of utility to the organization and will align with and be sustained by regulatory Purpose.

Conversely, the existence of an agent of negative utility at a point in context will be counter to regulatory Purpose. As such pursuit of Goals of regulatory Purpose will employ technology to re-align the “wrong” states of context, i.e. existence of negative utility with “right” states which will include either non-existence of agents of negative utility or existence of agents of utility to the organization.

Technology to align an agent of negative utility with a state of non-existence will principally involve reduction of an agent’s existence below the intelligent or goal pursuing Level 3. While an organization may employ complex technology to disable the agent, this may not be necessary as any agent of the system that is not of Purpose of the system becomes non-communicative matter which is Level 2, and molecular in nature. As such for those contexts, the agent will be considered a molecule resource of the organization, subject to conversion to energy, use as a tool or use as construction material.

The Purpose of the organization will thus be to either store or consume any agent of negative utility. Any matter employed in Goal Pursuit is consumed. All other non-Purposeful matter is a “store” of potential energy or work matter and without action is “stored.”

In the event that the agent’s technology for sustaining Self keeps it from being consumed by the organization, Goal Pursuit will cause one of these outcomes.

If the organization has additional technologies available for goal pursuit, it will employ those technologies until either the defined Identity state is achieved or the available technologies have been exhausted.

If the agent of negative utility limits its existence to a region of context, the organization will mark it a “store” with a slowly-changing shape. Thus agents of the system will primarily sense it but not consume the agent.

If the agent of negative utility grows its existence to regions of context, served by additional agents with additional available technologies, the number of agents and aggregate technologies available for Goal Pursuit will increase, increasing the rate of consumption of the store.

When an agent of negative utility intersects with a Goal Pursuit technology able to consume it, the regulatory Purpose will pursue Goals to increase the availability of the agent employing the technology until that technology can be employed to re-align the “wrong” state of non-utility with the “right” state of utility. This “promotion” of effective technologies changes the Purpose of the system, such that availability of the technology becomes a “right” state in all contexts where the agent of negative utility might exist. This new regulatory Purpose is called learning.

If the agent growth continues at a rate greater than consumption by the organization’s ecosystem, negative utility will sustain a constant counter entropic Purpose that will reduce the scope of expressed Purpose in the system. Unabated growth of negative utility will eventually overcome utility, and the Purposeful system will fail.

All contexts of an organization’s existence will be subject to regulatory Purpose and thus responsibilities of the organization.

The organization will thus employ resources in regulatory Goal Pursuit that will come from within the organization’s contexts, and as such will be both resources and responsibilities.

The organization will also employ resources for regulation from the greater ecosystem that are not part of the organization’s contexts, and as such will be pure resources.

Resources are Responsibilities Rule: When the organizations scope approaches the scope of the greater ecosystem, for example becoming planetary in nature, the number of resources available beyond the organization diminishes such that in a planetary ecosystem, all resources of the system become responsibilities.

Thus as the scope of the organization grows, the resource assets available to regulatory Purpose approach equivalence with the responsibility assets. As such all waste in a Purposeful ecosystem will approach zero.

Technology

Technology in an organization will be any agent or matter that can be employed to sense or control states. An organization will employ two classes of technology,

The first being an Existence model architecture, Ema, the fundamental machine of existence that will perform Translation between the Platonic definition of the organization’s Self in Construction and the contextual states of its Expression in our local timespace, and

The second being Goal Pursuit, the technology resources employed by the existential agent to pursue Goals, principally to sense and change states.

The technology of existence in an organization will include the storage and reading of Purpose, the translation of Purpose as information states expression and linkages to technologies in Expression able to pursue Goals to align expressed states with measured states.

The technology of Goal Pursuit in an organization will include the storage and reading of the nature of the Goal, the translation of the Goal nature as physical and logical states in Expression.

The technology of existence can be expressed as the technology of Goal Pursuit if the nature of the Goal is made the nature of Purpose. As such the technologies of both Goal Pursuit and Existence could be defined as a single technology, with its basis being information in Construction, translated as capability in Expression. As such, the information basis for all technology could be defined as a single Purpose in Construction.

If all technology in an organization has the architecture of existence, then all technologies can be made existential agents of the organization such that the total Purpose of the organization would be Purpose to sustain the organization and Purpose to sustain technologies of the organization.

The technologies within an organization that are existential agents of the organization will have the requisite capabilities of existence which will require the processing of Translation between Expression and Construction.

As such, they will compare Self with Construction which will require measure of time invariant states from Expression, which will further require gathering primary, derivative and second order derivative states.

They will also express Self in Expression, which will require the volumetric expansion of Construction over time, which further requires integral measure toward completion.

They will also store in Purpose Forms for all shapes, containers, flows, liquids and matter of all nature entailed in the synthesis or maintenance of Self and have capacity to understand all objects that are resources or responsibilities of their Purpose.

They will also store in Purpose, Forms that will be expressed at regular temporal intervals and thus be cycles in Expression. They will thus have the ability to both express symbols, objects and logics as cycles and measure those cycles as necessary to align states of Self with Purpose.

They will also store symbols such as proximity, as complex Forms in Construction and express them as derivative states in Expression, with right states being shapes, sequence and coincidence of vector changes such as tending toward closure or toward separation. As such they will store in Construction, Forms that represent the totality of complex physical expression.

Rule of Self Knowledge: As such, all existential agents within an organization will have the requisite capabilities of expressing and understanding all natures of Self for all contexts of Purpose which will include capacities of geometry physics, chemistry and calculus for all symbols, objects and logics that define their expressed Purpose.

As the scope of an organization grows, all resources tend toward becoming responsibilities. As such the agents of an organization will tend to become compatible with the technology of the greater ecosystem. Similarly all agents of an organization will be either resources or responsibilities of the organization and thus tend towards compatibility with technologies of the organization. Thus the technology for Goal Pursuit in an organization will tend toward compatibility such that the technology for Goal Pursuit will be fundamentally the same at all levels of existence in all agents of the organization.

As the technology of an organization’s agency tends toward compatibility, the utility of agents in an organization will increase. Differentiation between agents will tend towards the value of information in Construction. As such Goal Pursuit technologies will tend in several directions:

Size Rule: Forms that define technology will tend to become smaller, to maximize compatibility, and thus utility in more contexts. The smaller forms will able goal pursuit at precise contexts in Expression.

Pervasiveness Rule: As technology tends toward smaller size and compatibility, the volume of detectable context states within a domain will increase and the domain of contexts served by regulatory Purpose will increase. This will increase the requirement for and pervasiveness of compatible technology.

Polymorphism Rule: As technology tends towards compatibility, it will also tend toward portability. This means that absent regulatory Purpose, any agent of an organization could be employed in the execution of any Purpose. Similarly, the presence of regulatory Purpose could enable any agent’s employment in the execution of any Purpose.

Diminishing Technology Rule: As technology tends toward compatibility, the information in Construction defining the Forms of technology will diminish. Conversely, the efficiency of Translation between Construction and Expression will increase. Finally, Expression will tend toward becoming a more pure Translation of Purpose in Construction.

All Resources are Technology Rule: As the scope of an organization will grow, all resources will become responsibilities of the system and as such, all technologies will become both resources and responsibilities. As the nature of technology independent of Purpose diminishes, all resources of the organization will become technology and similarly all responsibilities will become technology.

Local Production Rule: As all technologies become responsibilities, the organization will become responsible for the production of all technologies.

Division of Labor Rule: An organization will employ multiple technology resources to pursue Goals at each point in context. These must sense and control each state transition direction. These technology resources may be the capabilities of a single agent or of multiple agents.

Non-expression of Technology Rule: Technologies to control a state transition can be active or passive. They are active when an agent of the system has a causal relationship with the change, passive when an external resource promotes the change. Passive technology is knowledge and understanding of an external force and employment of it for Goal Pursuit by allowing it to effect a state transition. As such, a valid technology employed for goal pursuit, such as even when the time frame for the transition in the Expression timespace may be long.

The Chain Rule: A Goal defining Purpose for a given range of context may be complex, such that employment of technology to sense or change states may require complex expression, employing multiple technologies and/or multiple agents. When multiple agents are employed, they may work as a chain, such that the outcome of one agent’s Goal Pursuit sets a contextual state which is different from the objective state, but recognized by another agent as a state that must be re-aligned with a Goal state that may also be different from the ultimate system Purpose for a context. As such, it is possible that agents will execute Purpose as a chain, with no link independently expressing a complete Purposeful transition.

The Good and Bad Rule: In an organization, it is possible that agents will execute Purpose as a chain, with no agent’s expression independently completing Purposeful transition. Thus an agent’s expression may appear to be counter to Purpose, i.e. “bad”, when expressed as part of a chain at a point in context in Expression when experienced by an observer not in semantic communication with the organization, such as a human cortical agent. When such an observer interrupts agent expression with the intent of “good,” the Purpose chain is interrupted, reducing efficiency in the organization.

The Self Healing Rule: If a chain of expression is interrupted by a change in context or agency, Goal Pursuit will continue for either the new contexts or with other available agency.

The Self Programming Rule: The expression of Purpose as a chain of state transitions will be expressed as sequence and coincidence, adaptive to context. As such, a chain of execution of Purpose by agents in semantic communication will appear as a procedural Expression of Self. If an organization intersects identically with Purpose contexts at a future point in Expression, the procedure will repeat. If an organization intersects at varying contexts, the chain of states reflected as procedure will be adaptive to the new contexts.

Ecological Communication

When agents of an organization share the same Construction basis, meaning they have matching Purpose for a region of contextual space, they will be in “semantic communication” in that region of context in Expression. The organization’s components will be able to pursue Goals in a coordinated fashion, without information exchange, as long as each has access to the same context state information. The components will be “in communication” in Construction, even if there is no information exchange in Expression. This communication can be intra-agent, such between cells in a mica body, or inter-agent, such as between animals in a forest.

Because of the redundancy rule, all agents of an organization will engage in semantic communication for some region of context. This will occur when components share genetic Identity at all existential levels except for cortical mica. As will be explained below, cortical mica systems may arbitrarily blend abstract and real Purpose, and thus have differing Purpose at a region of context even when genetic Identity is identical.

When agents are in semantic communication, coordination will be an outcome when they pursue Goals for a region of shared context. The specific requirements include:
  1. Agents share Purpose in Construction
  2. Agents share context in Expression
In non-cortical mica agents, all intra-agent components will share Purpose in genetic Identity and will be nearly identical in Construction. Purpose will be pre-shared, and semantic communication when sharing context will be the primary, if not exclusive mode of coordination.
Figure - Semantic Communication. Two agents will “be of the same mind” and coordinate action without observable communication when they detect similar context states.
Figure - Semantic Communication
Two agents will “be of the same mind” and coordinate action without observable communication when they detect similar context states.
To engage in semantic communication, two or more members of an organization must share context. There are two types of shared context, coincidental and propagated.

Coincidental sharing occurs when two or more agents intersect at identical temporal and contextual space, i.e. are at the same place at the same time. This will occur when all agents in a forest may become aware of a “raining” context.

Context propagation will occur when an agent initiates a purposeful transfer of context state information. This will occur when a starling bird screeches after detecting the approach of a threatening falcon. The audible message would indicate the context of “impending attack.”

Coincidental context sharing is fast, since it requires no direct information transfer between agents. This makes it suitable, when direct communication is not possible, or when operating over a broad distance. This can make regulation possible in a large organizational ecosystem, even when there is no central means of information exchange.

Two or more members must also share within their Identities a matching Goal Form with “right” states for the coincidental or propagated shared context. The respective Goal Forms need not be Identical, only matching, with the distinction being that no agent need have the complete Form of the organization’s Purpose. For example there might be two manufacturing bots with Purpose to make Greek yogurt. Both might have a Goal Form for yogurt, yet only one might know the detailed shape graph for heating milk. As long as the complete Purpose for the context of manufacturing yogurt is known by the agents available to the context, the packaging bot will reliably provide a container immediately before the milk preparation bot separates the yogurt from the filter.

Regulatory Purpose

Regulatory Purpose is essential to ensuring effective semantic communication because its Goals are to sustain existence of the organization by assuring the availability of resources at all contexts of responsibility. To regulate a context, agents of an organization must ensure the availability of all resources, including technologies to sense and control states. For example, to grow a grass plant in soil, not only the plant, but the soil must be regulated as per the Resources are Responsibilities Rule. This requires agents pursue Goals that align mineral, oxygen and acidity levels in every gram of soil.

It is practical for nature to regulate at such a granular level, because of polymorphism, divisibility and redundancy. note that all such regulation is defined efficiently in every living cell, such that ensuring regulated existence is simply a matter ensuring the presence of two or more agents at each point of context (i.e. grain of soil) with the necessary genetic Identity. Nature demonstrates application of both the Divisibility and Redundancy Rules when sustaining the planet ecosystem, typically employing between one and forty million cellular agents in every gram of surface soil and fresh water.

This will require agents of the ecology also have a sense or control technology, linked to the transition vector for the state domains of the context. For example, some might posses within their genetic identity a hypergraph link in the context region of “raining” between the state transition vector “body--(dry--wet)” and the technology vector “shelter--(in--out).”

Once the agents share context, they will automatically coordinate by pursuing their Purpose. The design of the coordinated action is in Construction. It need not be reflected in the specific actions of any single agent. For example the forest may have Purpose to provide air and water to roots of plants. The technology employed by the forest might be a Goal in worms to burrow to the surface to drink water for themselves. The worm could be completely unaware that the path it left behind became a source of water and air for the plant, yet it and plant are in Semantic communication and coordinate activity. The specific actions of neither will reflect the linkage.

Semantic communication in organizations containing cortical mica agents, such as people, will by default be impaired in contexts served by such agents. This is because cortical mica agents will learn or create non-genetic Purpose that is not aligned with the regulatory Purpose of the organization. This Purpose may be stored and exchanged in abstract Forms such as spoken and written language, mathematics, procedural logic, pictures or music such that when combined with genetic Identity, the result is a unique Purpose that is neither shared by peer agents humans or other agents of the ecosystem. This learned abstract Purpose reduces the amount of shared Purpose among cortical agents and makes them more dependent upon temporally constrained information transfer in Expression, principally using the same abstract Forms used to augment Purpose.

Semantic communication will occur between cortical mica agents when two or more agents share identical learned Purpose in a context of shared genetic Identity. This can be achieved with precisely moderated multi-agent learning, such as that provided by national identity, family tradition, formal religion, government regulation, military training, athletic training and occupational training.

Semantic communication will also occur between cortical and non-cortical agents of an organization when the cortical agent employs technology that mediates communication between it and the organization’s stored Purpose.

Physical Agents

An organization must be comprised of two or more agents, and although an existential body is in essence multiple agents, and all multi-cellular bodies comprised of at least two distinct copies Purpose, thus meeting the two agent requirement, once a multi-agent cellular entity becomes a single existential physical body, it no longer can be an organization. Thus an organization, comprising an existential body must also comprise another agent, that is distinct from the body and of an existential level able to host the organization’s Purpose.

Further more, an organization will differ from a body, such that:

A body will exist in contexts with physical proximity to a center of mass. Purpose will be expressed in part by occupying a physical space in Expression. The states of body’s Purpose will be principally aligned with a physical nature that is defined by its Purpose. In all bodies, Purpose will sustain a physical nature in Expression by way of Goal Pursuit. In living bodies, Purpose will also synthesize the physical Self. A body’s physical nature will be integral to its Identity.

An organization will exist to bend the entropy of a domain of contextual space in Expression with arbitrary physical dimensions, and align it with a Purpose defined in Construction. The expressed states of an organization’s Purpose may employ physical agents and align physical objects, but its physical forms will only be a component of its Identity. Unlike a body, which will sustain its Identity by physically occupying principle regions of Expression, an agent of an organization will sustain its existence through governance of physical and non-physical contexts, sensing and aligning states with its Purpose.

Knowledge

All knowledge of existence lay in the Construction timespace.

The knowledge available to an organization is the sum of all information in Construction known by all agents of the organization.

The set of an organization’s Purpose is the intersection between knowledge available to agents of the organization and the domain of contextual space served by the organization. Conversely, any Purpose held by an agent of an organization for regions of context beyond the contextual space of the organization becomes knowledge available to the organization.

The specific natures of how knowledge is linked to the Purpose of an organization will change during the life of the organization. The linkages between Goals and technologies (which themselves are Goals) will be dynamic as a result of Goal Pursuit. Technologies of the organization may add or change linkages between Goals and technologies or adjust resource and responsibility values amending the technology selection in Goal Pursuit. The technologies necessary to affect such changes will be linked to Goal Pursuit in Regulatory Purpose.

As an example of how organizational knowledge may be employed by Regulatory, consider a desert ecosystem in which plants, animals, bacteria and archaea have linkages between sensors and controllers that manage water transitions such as absorption (i.e. body--(out--in)) and regulation (i.e. (body--store)--(empty--full)) and other transitions that consume water. Empty--full is a regulatory state transition, its shape defined by ecosystem constraints. The shape, coincidence and sequence of “right” states for each context will be stored as Purpose in genetic Identity as brief hypergraph data.

Technology is polymorphic, meaning the technology linked to water--(out--in) could also be linked to a Goal for water--(wet--dry). If a desert ecosystem organization were to sense a transition that threatened existence, such as flooding if the region became subject to regular rain, Goals of regulatory Purpose will fuel technologies linked to Goal Pursuit as needed to preserve existence.

A simple regulatory Goal might store the Form of water levels in the ecosystem and link to technology that act as a switch, changing an agent of the organization from water conservation mode, as needed for a desert climate, to a water absorption mode. Such a Goal might promote new or amended linkages to Forms for out--in, empty--full, or wet--dry state domains, in effect changing the “right” states for water, for any agent of the ecosystem.

Such regulatory Forms, might pre-exist as brief Purpose in the genetic Identity of any number of agents of the system. Alternatively, an agent’s genetic or learned Purpose could be externally amended with lines of genetic hypergraph data linking agent Self to amended Forms and Form linkages. Such changes could be expelled from an agent as genetic media and transmitted as genetic message data appended to existing bacteria or archaea. Similarly a change could be expelled as a viral construct. The construction of media packages for bacteria or viral messengers will each be themselves Goals in regulatory Purpose that might pre-exist in any number of agents of the system.

Cortical Agents

Cortical agents with free will can add non-genetic Purpose to a system. This Purpose can be unregulated or may add Goals not aligned with the system Purpose. Thus effort of cortical agents can counter the entropic affect of a Purposeful system.

Cortical agents unaware of system Purpose will create Goals to counter system Purpose.

The effort of cortical agents, not aligned with the Purposeful system will create resource pools that reduce material available to the Purposeful system. When resource pools are sustained, and increased indefinitely, matter is kept unavailable to the ecology. This can have long term counter-entropic affect.

The symbols, objects and logic of cortical agents can be defined as Goals and stored as a fabric of Purpose. This Stored Purpose can be mediated and made part of a greater Purposeful system. Finally the Stored Purpose can be distributed among multiple agents and those agents can be assigned to help guide cortical agents such that they become part of the Purposeful system.

Synthetic (man-assisted) Organizational Ecology

Cortical agents with free will can learn, align with, and extend a greater Purposeful ecosystem. Human agents can augment or amend Ecological Purpose with synthetic (man-made) systems which incorporate regulatory Purpose and add new Purpose and Technology (see illustration). Such systems might be based upon genetic software that is platform independent, i.e. cooperatively coordinating both biological and mechanical metacomputer systems.

Organizational Ecology. A genetic software based system incorporating both natural and human made elements

Figure - Organizational Ecology
A genetic software based system incorporating both natural and human made elements

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