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EC Container 5


AgentAgent ClassAgencyBaseCellClient AddressCloud Infrastructure (Next Generation)Cloud Infrastructure (Stored Purpose)CompositionComprehensionComputableConsciousnessConstructionContextContext PropagationContext SpaceContextual AddressCPUEcopoesisEmaEmotionEvolutionExistenceExistence Model Architecture (Ema)ExperienceExpressionFabric (logical)Fabric (physical)FormForm MatchingForest (Stored Purpose)General Intelligence Algorithm (Gia)Genetic Data ModelGenetic IdentityGenetic SoftwareGiaGia Context NotationGia Image NotationGia Music NotationGia Symbol NotationGia Technology NotationGia TimeGia Timespace NotationGoalGoal Form, Goal Context TimespaceGoal Pursuit, Goal Pursuit RouteGoal Pursuit TechnologyGraphGPU / GPGPUHypergraphIdentityInstantiate (agent) IntelligenceIntelligence TheoryIntelligent BehaviorKernelLearningLegacy ServicesMeaningMediationMemoryMetacomputerMetacomputer (Stored Purpose)Mica (Multi-level Intelligent Cellular Architecture)Mica Modified (Modified Multi-level Intelligent Cellular Architecture or modMica)Network Address (Synthetic File System)Network TimeNormObjectPatronPipePlanPlan MemoryPlatonic Form or FormPrioritizationPurpose DefinitionPurpose HypergraphRealityRelative TimeResourceResponsibilitySelfSemantic CommunicationsSOCSomaStored PurposeSymbolSymbol ExtractionSynthetic File SystemSystemTimespaceTechnologyTemplateTranslationUnderstandingValuationValue (Goal)
A intelligent existential entity that pursues the Goals of its Purpose, based upon the Existence model architecture. An agent uses available technology to align measured states with right states defined in the Platonic Forms of its Identity as its sensors intersect with context. This term can be used to describe both the specific construct of an instance of an Agent class on a metacomputer, as well as the general construct of any existential entity in an ecosystem. See Existence Model Architecture (Ema).
Agent Class
Identity template for agent (i.e. a.assistant, b.courier bot) with base core, freewill and scholastic Purpose that defines an agent when instantiated. Also includes synthetic file system class catalog and resource requirements for host metacomputer registration.
The set of instantiated agents for some domain of context in a multi-agent system. See agent.
(Goal Form states) The inherited “right” state or states that for a given Goal Form.
The fundamental unit of existence in life. The simplest Ema architecture. Each cell carries a complete copy of the Identity fabric of its Information Model and executes some portion of the overall system’s Identity.
Client Address
(Synthetic File System) An item's address relative to the network scope of a Client entity a.k.a. computer user (i.e. "~/ashtin_healthcare/instruments/mower/cut").
Cloud Infrastructure (Next Generation)
Systems design in which all queries and answers are communicated using a common set of technologies called Internet Protocols and assigned addresses called Universal Resource Locations (URLs). Since URLs will be inherently pre-defined, enabling all answers in the cloud to be pre-computed, next generation cloud applications will be very fast. Since pre-computed information can be read before being published, next generation cloud infrastructure can be strictly regulated and validated, thus making cloud infrastructure very secure. Since the Internet Protocol (IP) stack allows for storage and transmission of single and multi-part data of all known information formats, and support for IP stacks can be integrated into virtually all new electronics, cloud Infrastructure can be employed ubiquitously.
Cloud Infrastructure (Stored Purpose)
Next generation cloud infrastructure compatible with Stored Purpose public and private communications and hardware. Will support new device platforms called metacomputers and run new (genetic) software called purpose hypergraphs. Will support Instrument devices with microbe-like intelligence able to pursue Goals specific to contextual (company, campus, forest, metro region) regulatory definition. Will run personal assistant and regulatory applications called Agents able to “roam” cloud fabric devices such as fixed power and traffic infrastructure, facility and vehicle adapters, personal mobile communication, and public and private metacomputer hosts. Will support high performance semantic communication between infrastructure components and enable broad scale coordination predictive optimization of information flow and resource routing.
A process of combining, sequencing and transposing symbolic Form data to Plan for Translation. See Translation.
(verb.) See Understanding.
A process or collection of states is considered computable when the process or states can be achieved with information and resources available to the process or states.
A contiguous, “flicker-free” stream of Reality frames, each dependent upon delivery of the prior result with zero delay, performed perpetually for the “life” of its existence, in spite of information flow rate constraints, defined by Lorentz and described by Einstein. See Reality.
One of two timespace in the Existence model architecture (Ema), Construction is the reference frame for construction of thought information, a hypothetical dimension disjoint in time and spacial coordinates, where intelligent existence can be defined and constructed as local processes not constrained by observer-side physics. Information states in Construction are translated as Expression when an existential entity traverses context. Because it is defined as pure information, it can be constructed in our local reference frame. See Existence Model Architecture (Ema).
Context is a location within a domain or region of symbolic “space” defined by proximity to an intersection of some nodes and edges of a graph of symbol relationships. Linkages between symbols and context define a specific scope of understanding (i.e. ball -- bounce -- landing pod--on earth vs. ball -- bounce -- landing pod -- in space). See Context Space.
Context Propagation
The transfer of symbolic location information with thought as it progresses through Gia. The forwarding of Context links during Composition, Sensing, Symbol Extraction and Learning.
Context Space
A domain or region of the domain of symbolic “space” defined by proximity to an intersection of some nodes and edges of a graph of symbol relationships. Context Space can also be define simply as “in” any node that defines a Context Space, such as a Goal. In Intelligence Theory, a context space will define the region of intelligence represented by a symbol, form or range of Purpose, Knowledge or Technology. A Context Space is allowed unlimited dimensions, although only those dimensions necessary to define a computable location in space need be represented. Context space has principle dimensions of entity, time, proximity, location, source, destination and symbol linkages.
Contextual Address
an item's abbreviated address relative to the current context of a thought or process (i.e. "./cut")
Central Processing Unit, microprocessor core or cores or main processing component of SOC. Example include AMD Opteron, Intel Core 2 Duo, TI OMAP main processor.
From the Greek, οικος, house, and ποιησις, production. Originally coined by Robert Haynes who uses the more complex spelling Ecopoiesis.
1. The science of defining and sustaining a planetary ecology. The crafting of a purposeful self sustaining existential system.
2. The business process of designing, implementing and administering a Stored Purpose metacomputer and it’s agency. Includes management of synthetic file system catalog, agent identities, nexus scheduling, resource allocation permissions, agent curtailment and mediation and anomaly resolution.
A state condition caused by the impairment of the Planning function.  This may be caused by damage or errors in Identity (Goals, Knowledge or Technology), loss of Plan schedule due to the reduction or elimination of Goals that constituted a significant portion of Plan (such as in Goal achievement or abandonment), or a Plan memory wipe caused by Prioritization.
“Firm” Learning. When learning or self improvement is passed to a successor generation
The maintenance of a Platonic definition of Self, across all defined points in context space. See Existence Model Architecture (Ema).
Existence Model Architecture (Ema)
system design that aligns the measured states of a Self with a Platonic definition of right states across the space of context to “exist.” In a metacomputer, an Ema entity executes processes of the General intelligence algorithm (Gia) to instantiate and sustain Identity. An Ema system aligns measured and planned states with Identity for achievement of Purpose without explicit procedural instruction or programming. Simple Ema systems are called cells or instruments. More complex intelligent systems can be built by combining Ema systems. Complexity designs include Multilevel intelligent cellular architecture (Mica), cortex, and ecosystem. See Existence.
Intelligent entities plan futures and reveal planned memory at a moment called the Present. The revealing and processing of planned memory at time Now (a.k.a. Reality) is called Experience.
One of two timespace in the Existence model architecture (Ema), Expression is the constrained reference frame, where behavior and performance is principally below any level of constraint. This is the “space” for standard human computer interaction and where technologies such as tools, electronic devices and biological sensors and controllers work. This space is where time progresses sequentially. See Existence Model Architecture (Ema).
Fabric (logical)
The read-only and read-write symbolic memory of a Stored purpose computer.
Fabric (physical)
The component instruments and capabilities of a metacomputer or logical intelligent entity. A Stored Purpose synthetic file system, provides a virtual construct of all physical and logical fabric of a system.
Form Matching
A means to match extracted symbol data with Goal Form data prior to Understanding,. for example to determine if sensed grass is Right or Wrong. Uses one or more measured symbol values in dimensions of Context. Typically, Context will be filtered or reduced (such as “symbols linked to Ashtin Healthcare Lawn”) before a form matching process is started. Principle dimensions for matching include similar shape, duration, cycles, cycle shape, sequence, coincident symbols, transitions, context location base, etc.
Forest (Stored Purpose)
An organization which Purpose defines a geographic region of context. A Forest’ Purpose is defined independent of any particular organization other than the Parent geographic organization which may be a greater Forest such as a metro region or planetary ecosystem. A Forest may host many guest agents and organizations which may either pass through or become members. A Forest’s members align with Forest Purpose either by self regulation, by regulation by the Forest, or by a combination. Forests are a type of organization defined in Organization Theory. Other organization types include campus, company and planetary ecosystem.
General Intelligence Algorithm (Gia)
A family of algorithms that perform Translation processing in Existence Model Architecture (Ema) based systems. Executes genetic software that aligns information in Construction with information states in Expression. Performs Goal Pursuit. Enables intelligent existence in Stored Purpose systems. Key functions include state prediction, identity maintenance, goal pursuit, valuation, symbolic composition and interpretation, context determination. Seven key outcomes:
  • organize Platonic Forms in contextual memory
  • select and compose Platonic Forms to Plan
  • act on Plan at time Now, which is Reality
  • sense in context
  • pursue goals
  • understand measured and planned states
  • learn.
Genetic Data Model
A combination of Platonic and contextual form data necessary to sustain existence. A genetic data model must not be subject to performance constraints for information flow in the universe of existence, and thus meet the boundary conditions for information in a Construction timespace. See also purpose hypergraph, Genetic Data Model paper.
Genetic Identity
Read-only Purpose. The aggregate set of Goals in Construction for an existential entity.
Genetic Software
Pure knowledge for defining Purpose or “Construction” of an existential entity. Can be used to teach a garage door, yogurt manufacturing plant or a hospital to “know” what to do. Genetic software defines a set of “right and wrong” states called Identity and transitions called goal pursuit Technologies to defend those states. Genetic Software combines two principle constructs as a union of graphs, specifically Platonic Forms mapped in contextual fabric. The specific format is called a Purpose hypergraph. Genetic Software can be used to define means to employ available tools as technology or to express matter and energy states as tools to create new tools that can be employed as technology. Systems that run genetic software called “Construction” process by Translation between the Construction timespace and the “real world” or Expression. According to Timespace Theory, this means of processing is not subject to information flow constraints (such as the speed of light) as all future “answers” exist in Construction with the only limiting factor of Expression being the temporal width of Translation at the place where the genetic entity intersects reality, a constraint largely mitigated by predictive translation such as that performed in a Stored Purpose Soma by the General Intelligence Algorithm (Gia). Useful for creating a time and context invariant basis for Goals, Goal Pursuit technologies, Purpose and Identities for intelligent devices and entities. Also useful for mapping the design of loosely regulated or non-genetic organizations, such as companies. The persistent information component of an Existence Model Architecture (Ema) computing platform such as a Stored Purpose computer and the basis for intelligence in systems developed using Ema and derivative architectures. Genetic Software can be read-only, such as that used to define the Purpose of simple microbe-like instruments or the base regulatory Purpose of more complex entities. Genetic software can instantiated in a single entity (see Ema), copied and instantiated across many components of a multi-cellular entity (see Mica), or distributed across many agents of a company, campus, forest or ecosystem (see Organization Theory). Genetic software is instantiated and run in a soma hosting a translation algorithm such as Gia. The Purpose defined and able to translate its existence using available technology. See Stored Purpose, Ema, Purpose, agent, purpose hypergraph.
Gia Context Notation
Uses force directed and simple directed graph clusters to represent regions of Context Space as nodes, edges (lines) and forms (context space). A format of Gia Timespace Notation.
Gia Image Notation
Uses shape and sequence notation to render a static graph as symbol sequences compatible with Gia comprehension. A format of Gia Timespace Notation.
Gia Music Notation
Uses scientific music notation and Gia time to represent symbols, shape and sequence in Platonic Forms. A brief human readable/editable format capable of rendering nuance and subtlety in symbolic shapes. A format of Gia Timespace Notation.
Gia Symbol Notation
A list of symbols and registration data in a Platonic Form. Required for registration of symbols on a symbolic network.
Gia Technology Notation
For registration of technology on a symbolic network. Combines object definition, program code text and binary instructions in a single file. A format of Gia Timespace Notation.
Gia Time
A log2 time system used for relative time notation in symbolic networks. Principle timespace range of eighty octaves (C-60 to C20) or the history of the known universe to the smallest detectable unit of time.
Gia Timespace Notation
Text and binary formats for drafting and rendering symbolic information such as shape, sequence, symbol catalogs, transitions, identity, context, technologies and parentage in Platonic Forms. Includes linear, directed, force-directed and log2 graphs. Log2 graph types include simple and Gia Music Notation.
A Goal is a computable symbolic representation of states in contextual Identity. It is a self directed graph with start and end points at some location of Self in context space and all other positions being not Self. A Goal will have one or more related symbols each stored or linked by way of a state domain graph, transformations, links and technology sub-Forms. Each Goal state nominally has three symbolic value ranges: a predicted Base state explicitly defined or derived from a ancestor symbol, a predicted Norm state defined in Plan and a measured Value state.
Goal Form, Goal Context Timespace
A container for the symbols, shapes, sequence, transitions, data and relationships associated with a Goal.
Goal Pursuit, Goal Pursuit Route
The alignment of a measured or predicted state with a Goal’s Identity state. A means to re-align a system state which is at not Self with Self by use of Routes, which are linkages between state domain vectors and technology (i.e. [grass - [high->low] - ./mower/c.cut] links the “high to low” vector in the “grass” context with the synthetic file system capability of “cut.”
Goal Pursuit Technology
In mathematics, computer science, and intelligence theory, a graph is a mathematical structure used to model relations between a region of objects. A "graph" in this context refers to a collection of “nodes” representing objects or symbols and a collection of edges that connect pairs of nodes. An edge may be undirected, meaning that there is no distinction between the two nodes linked with an edge, or edges may be directed from one node to another. A Platonic Form, the fundamental system for representation of all Purpose, Knowledge and Technology is a graph or collection of graphed symbols.
Graphics Processing Unit, General Purpose GPU. A stream processor that provides massive floating-point computational power for symbol extraction, matching, composition and valuation. Example: nVidia Cuda.
In mathematics, computer science, and intelligence theory, a graph is a mathematical structure used to model relations between a region of objects. A "graph" in this context refers to a collection of “nodes” representing objects or symbols and a collection of edges that connect pairs of nodes. An edge may be undirected, meaning that there is no distinction between the two nodes linked with an edge, or edges may be directed from one node to another. The hypergraph extends graph by enabling edge regions to explicitly represent regions of context space, by enabling symbols/objects to link to all points in context space and allowing nodes to resolve the aggregate Forms linked to node + node-edge intersection points. The hypergraph is the fundamental symbolic information storage construct of Stored Purpose and can be used to represent Identity, Purpose, Goals, knowledge, linkages, technology or any information knowable by an intelligent system.
he definition of an intelligent entity, its aggregate Purpose. Includes the aggregates of read-only Identity (genome), memory, compute resources, available technology, learning scope.
Instantiate (agent)
To bring an agent into existence. (Form) To create a new, derived Form from a base Form, class or template.
The quality of being able to understand states as “right” and “wrong” when compared to a baseline of “right” states called Identity, and employ energy and matter as technology, to traverse the logical or physical distance between the two. For example, a very simple intelligent system could understand salty water as good, and warm water as good. It could sense within some region of physical context in an ocean by using its biological technologies to measure states of saltiness and warmth and its alignment (or lack there of) with preferred “right” states. The system could also employ technology such as swimming feet, to traverse the distance between “wrong” and “right” states. This a definition of minimal intelligence. Additional capabilities is met by Ema cellular, Mica, cortical and ecosystem architectures.
Intelligence Theory
A model for describing and understanding biological and non-biological intelligent systems in terms of a general definition of intelligence (see Intelligence) and systems based upon the General intelligence algorithm.
Intelligent Behavior
The fulfillment of Purpose by way of Goal Pursuit.
A collection of programs that enable an electronics device with a given CPU/GPU/SOC configuration to be part of a metacomputer. A kernel may be written as custom operating system software or based upon existing stored-program platform kernels such as Linux or Contiki.
Learning is a change in Identity to correct a failure or inability to align Self with right states of Purpose. Self improvement.
Legacy Services
Integrated virtualization services to run stored-program modules (i.e. Windows, Linux, Unix, Solaris, etc.).
The total “consequence” of Plan state changes resulting from a measured or predicted symbol state.
A means to coordinate the activities of a multi-agent system by mitigating differences between entity symbols and Purpose. One of three means of thought coordination: Valuation, Prioritization and Mediation. The mediation function is essential to efficiency in Level 2, 3, 4, and 5 systems. Mediation strategy will differ between agencies, but common goals for mediation functions include:
  • Coordinating and adjusting Valuation calculations on a systemic level by altering cost and value measures for shared system resources.
  • Translating facts and queries into their most basic “concepts” and “verbs” (more typically described as “predicates”), via “translation”, “dialect elimination”, and/or “reduction” (i.e. word stemming in English).
  • Relating diverse fact sets to each other, either by pairing concepts and predicates directly, or by dots connecting ... i.e. looking up unmatched terms in reference ontologies/thesauri and importing connecting facts.
  • Sewing a collection of fact sets together into a single fact tapestry when the purpose of a system extends beyond the bounds of a single fact set.
  • Converting object values to common units of measure (i.e. Euro to dollars).
One of six stored purpose read-write storage formats: Recorded, Plan, Reality, Program Data, Media and Stream.

Symbolic Data - An intelligent entity’s read-write information can be divided by time into three regions: Plan, Reality, and recorded memory.
  • Recorded Memory (Memory) - Archival Form storage linked by context dimension.
  • Reality - Buffer memory where Plan is validated against measured states. Dependent upon the speed of Plan validation Reality may be wide (large time buffer) or narrow. Reality may be streamed as Consciousness.
  • Memory (Plan) - Future memory, predicted states of context. Plan defines all memory that precedes Reality, i.e. the aggregate symbol states that have not intersected with time Now. Event storage linked by Network time optimized by the Valuation process.
Object Data.
  • Memory (Program Data) - Journaled File System for stored-program data and services and legacy virtualization.
  • Memory (Media) - Single instance storage media by type and linkages. Supports multipart versioning.
  • Memory (Stream) - Storage for transitory data including interprocess communications, raw data caches, forward data chaining operations, intent propagation, etc.
A physical and logical machine construct representing the total capability of a defined set of compatible devices. Comprised of agents and instruments each minimally capable of receiving, storing and expressing definitions of activities.
Metacomputer (Stored Purpose)
A metacomputer able to store, translate and express genetic software. Its function is to coordinate resources available to an organization to ensure efficient pursuit of and alignment of resources with the organization’s Purpose. The metacomputer employs intelligent instruments, devices of the organization that execute microbe-like read-only Purpose in the format of a Purpose Hypergraph, such as home auto garage’s Purpose door--(open->close) when (car->in and door--open) and technologies such as motors, programs, physical sensors and controllers to align measured states with Purpose. The metacomputer may also employ agents, organization Purpose instantiated as intelligent entities with assigned roles, client responsibilities and resource access sufficient to roam resources of the metacomputer. Agent Purpose may be simple, limited to one or more contexts and comprised of one or more Goals and pursuit technologies. Agent Purpose may also be complex, combining many Goals in a broad fabric of Purpose, and spanning Contexts of many instruments, people and groups, acting as their assistant, or regulating regions of organization Purpose such as a campus or forest, employing technology available to the metacomputer. Each Agent will predict and gather states within the contexts of their assigned responsibilities and compare alignment with the organization’s defined Purpose. The metacomputer regulates the agency and instruments, predicting success and failure, aligning resources, instruments and agents with organization Purpose by engaging in Goal Pursuit to re-align states of the organization’s measured “Self” with its Identity Purpose.
Mica (Multi-level Intelligent Cellular Architecture)
A single instruction multi-modal design for Existence Model Architecture (Ema) systems in which existential component of the system, called a “cell,” combine to execute Purpose. Each cell unit is assigned one or more roles starting at level one (L1) and up to level five (L5). The components formed by each lower level cellular construct, become Technology for the next highest level construct. Roles at the lowest level, level one (L1) are defined as a region of context specific to each cell. The next higher level roles (L2) are assigned to a group of cells, with each cell performing a contextual role within the group, such as the right most light of a lighting system or the center most skin cell on the back right finger knuckle. The level three (L3) roles are assigned to a group of L2 components, for example a production media system comprised of L2 lighting, audio and video component systems. Similarly, a level four system (L4) would be comprised of L3 systems, such as an intelligent theatre comprised of L3 production, ticketing and finance administration. The highest level is five (L5). To be a Mica system, only a Level one (L1) component is required. Levels two through five (L2-L5) are optional. This allows a single cell Ema system to also be a Mica system.
Mica Modified (Modified Multi-level Intelligent Cellular Architecture or modMica)
A version of the Multi-level Intelligent Cellular Architecture in which some cells have an incomplete portion of the system’s Identity. This subset contains Purpose specific to the carrying cell. The mMica design makes it possible to employ low cost, low capacity instrument components in Stored Purpose computers.
Network Address (Synthetic File System)
A node’s address relative a network root (i.e. "//instruments/mower/grass/cut" )
Network Time
An absolute time system to which all planned events of a symbolic network align.
(Goal) A defined “right” state or states that define Self for a given Context.
Any thing that exists. Any state of a thing. Any thing that an intelligent entity might ever consider, i.e. to exist or to do. Examples include grass, fear, low, view. A fundamental or complex element that an intelligent entity can consider (process for understanding) or not consider. Represented by a symbol. The basic element of symbolic networks.
An organization, person or family that is the senior-most authority for a symbolic network. The Patron acquires and defines the base capabilities for the metacomputer and defines learning scope and persistence for the metacomputer’s Agency.
A linkage between two or more symbols on a Synthetic File System.
The composition of a relative Form analog of a thing into discretely scheduled events in memory Context (i.e. at a time and location). In memory these events can be sequenced with other events based upon Valuation such that their consequence can be determined.
Plan Memory
See Memory (Plan)
Platonic Form or Form
Representational analog of a symbol(s), form(s) or Identity. A graph of intelligence. A Platonic Form may be used to define a Symbol(s), Goal(s), Purpose(s), Knowledge, Technology or Identity. A Form may be a Template (read-only), Scholastic (without Goal Pursuit), Core (read-only Identity), or Freewill (read-write Identity). Intelligence Theory suggests DNA may contain or be composed of a biological analog of Forms.
A scheduling mechanism that sequences Goal execution based upon Purpose Band. Band 1 is prioritized ahead of Band 2 which is ahead of Band 3, etc. One of three means of thought coordination: Valuation, Prioritization and Mediation. Prioritization is very fast and efficient because it can immediately place in affected Plan memory prioritized Goals. Comparable to instinct prioritization in biological intelligence. Because Prioritization interrupts the planning function without the due process of the Valuation function, its invocation can have abrupt, systemic affect and can cause an emotion state.
Purpose Definition
A description of Goals, symbolic relationships, constraints and media that describe expectations, resources and responsibilities essential to serving a Purpose (i.e. Maintain Home).
Purpose Hypergraph
Genetic software, pure knowledge. A graph of Platonic Forms in contextual fabric. Purpose hypergraphs are useful for creating time and context invariant knowledge for constructing goals, Purpose, Identities for entities. Purpose hypergraphs provide the basis for intelligence in systems developed using the Existence Model Architecture. (see Genetic Software)
The computed meaning of Now. At each point in time space that is now, the Intelligent system evaluates Plan, measures sensed states and compares Prediction and Measured states for active Context dimensions. In other words, an Intelligent system constantly generates and updates a current picture of now.
Relative Time
Used in Forms to mark cycles, spans, progression, sequence, symbolic duration and time separation. Used with Gia Time to define spans of shape and cyclical sequence within a Goal, i.e. 1) at solstice start cycle, 2) lawn grass low to high transition from 6 cm to 9 cm, 3) lawn grass high to low transition to 6 cm, 4) Repeat 2-3 for span of growing season, … .
An entity that defines a dependency for Goal Pursuit.
An entity that defines the direction of a Goal. Intelligent entities pursue Goals consistent with Purpose limited by Responsibilities and Resources.
Region of Identity that is local to an Agent’s Fabric, as compared to Identity defined by external resources such as Mediation and Instrument capabilities.
Semantic Communications
A communications mode that combines explicit information exchange with mutually inferred exchange based upon shared Forms. This enables rich communications with brief symbolic gestures.
System on a Chip, i.e. Texas Instruments CC430.
A logical container for Gia compatible compute resources. A container for an Agent’s Identity. An agent is instantiated by loading an Agent Class Template and specific Purpose into a Soma.
Stored Purpose
A system of technologies that enable the processes of intelligence (see Intelligence) to run on commercially available electronics, e.g. an intelligent computer.
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An object representation. See Object.
Symbol Extraction
A means to identify symbols from a scene, defined by an input data stream that may include one or more objects. A means to define all likely objects for a given region of context space and matching measured data to those objects. Typically requires first and second differential processing for dimension of context (i.e. change in location per time, change in velocity per time, object count per proximity, change in object count per proximity).
Synthetic File System
The Catalog of all objects, attributes, capabilities and media of a System (i.e. "//instruments/mower/cut") expressed as a nodes linked to objects related in Context Space.
A set of interacting or interdependent entities forming an integrated whole. See metacomputer.
A logical container representing a set of symbolic relationships as a relative progression and sequence. A means to represent symbolic shape and sequence that may occur in relative time at any angle to network time or in a direction disjoint from network time. The Existence model architecture (Ema) defines two primary timespaces Construction and Expression and an intermediate space called Translation.
The means to pursue a Goal and thus fulfill Purpose21. Any capability linked to Goal Pursuit.
A read-only stored Form to be copied for reuse. An optimum Form in a format that can be saved and restored without translation.
An intermediate zero width space between the Construction and Expression timespaces in the Existence model architecture. Translation exists precisely at the performance constraint border and is where any processing required to translate information from or to Construction will take place. See Timespace, Existence Model Architecture (Ema).
The process of determining the total “consequence” of Plan state changes or considering the total affect of a measured or predicted symbol state to determine its meaning.
A means to choose or determine the best of a set of available actions. High value route calculation based upon system values that may be defined within an agent as read-only in core Purpose, or as changeable in the freewill Purpose band. One of three means of thought coordination: Valuation, Prioritization and Mediation. May be coordinated on a system level by altering cost and value measures for shared system resources (see Mediation).
Value (Goal)
The measured contextual state for a given symbol within a Goal.

EC Container 6