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Type: Scientific/technical paper (evidence document)
File Size: 1.39 MB
Summary

This document appears to be page 149 of a technical book or academic paper regarding Artificial General Intelligence (AGI), specifically discussing an architecture called 'CogPrime.' It details technical synergies between cognitive subsystems like 'MOSES' and 'HebbianLinks.' The document is stamped 'HOUSE_OVERSIGHT_013065,' suggesting it was collected as evidence, likely related to Jeffrey Epstein's funding or connections to the scientific community.

Organizations (2)

Name Type Context
CogPrime
Subject of the technical document discussing cognitive processes.
House Oversight Committee
Document bears the footer 'HOUSE_OVERSIGHT', indicating it is part of a congressional investigation.

Key Quotes (2)

"The specifics of how CogPrime manifests these synergies are discussed in many following chapters."
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"deduction might ask MOSES (running in supervised categorization mode) to learn predicates characterizing some of the terms involving the possible next inference steps."
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Full Extracted Text

Complete text extracted from the document (2,404 characters)

8.4 Some Critical Synergies 149
For instance, deduction might defer to the "attentional knowledge" subsystem, and make a judgment as to which of the many possible next deductive steps are most associated with the goal of inference and the inference steps taken so far, according to the HebbianLinks constructed by the attention allocation subsystem, based on observed associations. Or, if this fails, deduction might ask MOSES (running in supervised categorization mode) to learn predicates characterizing some of the terms involving the possible next inference steps. Once MOSES provides these new predicates, deduction can then attempt to incorporate these into its inference process, hopefully (though not necessarily) arriving at a higher-confidence next step.
8.4 Some Critical Synergies
Referring back to Figure ??, and summarizing many of the ideas in the previous section, Table ?? enumerates a number of specific ways in which the cognitive processes mentioned in the Figure may synergize with one another, potentially achieving dramatically greater efficiency than would be possible on their own.
Of course, realizing these synergies on the practical algorithmic level requires significant inventiveness and may be approached in many different ways. The specifics of how CogPrime manifests these synergies are discussed in many following chapters.
[Table Content]
Row Headers: Uncertain inference, Supervised procedure learning, Attention allocation, Concept creation
Column Headers: Map formation, Goal system, Simulation, Sensorimotor pattern recognition
[Selected readable table text]
- Creates new concepts and relationships, enabling briefer useful inference trails
- Goal refinement enables more careful goal-based inference pruning
- Simulations provide a method of testing speculative inferential conclusions
- Creates new concepts and relationships, enabling briefer useful inference trails
- Creates new procedures to be used as modules in candidate procedures
- Extraction of sensorimotor patterns allows creation of abstracted fitness functions
- Creates new concepts grouping "attentionally related" memory items
- Utility of concepts may be assessed via creating simulated entities embodying the new concepts
Fig. 8.3: This table, and the following ones, show some of the synergies between the primary cognitive processes explicitly used in CogPrime.
HOUSE_OVERSIGHT_013065

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