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Technical glossary / evidence document
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2.26 MB
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This document is page 334 of a technical glossary, marked with Bates stamp HOUSE_OVERSIGHT_013250. It defines advanced Artificial Intelligence terms such as 'Indefinite Probability,' 'Induction' (specifically within PLN/OpenCog), 'Integrative AGI,' and 'IRC Learning.' The text focuses on the technical specifications of the OpenCog and CogPrime architectures. While no specific individuals are named on this page, the document is part of a production to the House Oversight Committee, likely related to investigations into Epstein's funding of scientific research and AI projects.
Organizations (3)
| Name | Type | Context |
|---|---|---|
| OpenCog |
Referenced repeatedly in definitions (e.g., Indefinite Truth Value, Induction, Inference).
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| CogPrime |
Referenced as an example of Integrative AGI and regarding research contexts.
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| US House Committee on Oversight |
Implied by the Bates stamp 'HOUSE_OVERSIGHT_013250'.
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Key Quotes (2)
"Integrative AGI: An AGI architecture, like CogPrime, that relies on a number of different powerful, reasonably general algorithms all cooperating together."Source
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"IRC Learning (Imitation, Reinforcement, Correction): Learning via interaction with a teacher... This is a large part of how young humans learn."Source
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334
A Glossary
A Glossary
of distributions. In general, the term may be used to refer to any truth value involving intervals or related constructs, such as indefinite probabilities.
• Indefinite Probability: An extension of a standard imprecise probability, comprising a credible interval for the means of probability distributions governed by a given second-order distribution.
• Indefinite Truth Value: An OpenCog TruthValue object wrapping up an indefinite probability
• Induction: In PLN, a specific inference rule (A → B, A → C, therefore B → C). In general, the process of heuristically inferring that what has been seen in multiple examples, will be seen again in new examples. Induction in the broad sense, may be carried out in OpenCog by methods other than PLN induction. When emphasis needs to be laid on the particular PLN inference rule, the phrase "PLN Induction" is used.
• Inference: Generally speaking, the process of deriving conclusions from assumptions. In an OpenCog context, this often refers to the PLN inference system. Inference in the broad sense is distinguished from general learning via some specific characteristics, such as the intrinsically incremental nature of inference: it proceeds step by step.
• Inference Control: A cognitive process that determines what logical inference rule (e.g. what PLN rule) is applied to what data, at each point in the dynamic operation of an inference process.
• Integrative AGI: An AGI architecture, like CogPrime, that relies on a number of different powerful, reasonably general algorithms all cooperating together. This is different from an AGI architecture that is centered on a single algorithm, and also different than an AGI architecture that expects intelligent behavior to emerge from the collective interoperation of a number of simple elements (without any sophisticated algorithms coordinating their overall behavior).
• Integrative Cognitive Architecture: A cognitive architecture intended to support integrative AGI.
• Intelligence: An informal, natural language concept. "General intelligence" is one slightly more precise specification of a related concept; "Universal intelligence" is a fully precise specification of a related concept. Other specifications of related concepts made in the particular context of CogPrime research are the pragmatic general intelligence and the efficient pragmatic general intelligence.
• Intension: In PLN, the intention of a node consists of Atoms representing properties of the entity the node represents.
• Intentional memory: A system's knowledge of its goals and their subgoals, and associations between these goals and procedures and contexts (e.g. cognitive schematics).
• Internal Simulation World: A simulation engine used to simulate an external environment (which may be physical or virtual), used by an AGI system as its "mind's eye" in order to experiment with various action sequences and envision their consequences, or observe the consequences of various hypothetical situations. Particularly important for dealing with episodic knowledge.
• Interval Algebra: Allen Interval Algebra, a mathematical theory of the relationships between time intervals. CogPrime utilizes a fuzzified version of classic Interval Algebra.
• IRC Learning (Imitation, Reinforcement, Correction): Learning via interaction with a teacher, involving a combination of imitating the teacher, getting explicit reinforcement signals from the teacher, and having one's incorrect or suboptimal behaviors guided toward betterness by the teacher in real-time. This is a large part of how young humans learn.
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