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2.49 MB
Extraction Summary
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People
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Organizations
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Locations
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Events
2
Relationships
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Quotes
Document Information
Type:
Technical paper / academic draft excerpt
File Size:
2.49 MB
Summary
This document is page 148 of a technical paper regarding 'Cognitive Synergy' within the CogPrime/OpenCog Artificial Intelligence architecture. It details technical mechanisms such as ECAN (artificial economics), PLN (Probabilistic Logic Networks), and MOSES, explaining how they interact to manage memory, attention, and inference control. The document bears the Bates stamp 'HOUSE_OVERSIGHT_013064', indicating it was produced as evidence during a congressional investigation, likely related to Jeffrey Epstein's funding of AI research and his connections to scientists in this field.
Organizations (3)
| Name | Type | Context |
|---|---|---|
| CogPrime |
The specific AI system being described in the text.
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| OpenCogPrime |
Variant or full name of the system using the PLN inference framework.
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| House Oversight Committee |
Origin of the document production (implied by Bates stamp HOUSE_OVERSIGHT_013064).
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Relationships (2)
ECAN
→
Software Interaction
→
PLN
PLN inference may be used to help ECAN extrapolate conclusions
ECAN
→
Software Interaction
→
MOSES
MOSES may be used to recognize subtle attentional patterns
Key Quotes (4)
"Attentional knowledge is handled in CogPrime by the ECAN artificial economics mechanism"Source
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Quote #1
"HebbianLinks are then created between knowledge items that often possess ShortTermImportance at the same time"Source
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Quote #2
"ECAN also handles 'assignment of credit', the figuring-out of the causes of an instance of successful goal-achievement"Source
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Quote #3
"One key aspect of how CogPrime implements cognitive synergy is PLN’s sophisticated management of the confidence of judgments."Source
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Quote #4
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