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Scientific/academic text (likely artificial intelligence research)
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868 KB
Summary
This page appears to be an excerpt from a scientific paper or textbook concerning Artificial Intelligence or Cognitive Science, specifically discussing 'Dual Network Structure' and 'CogPrime systems.' It features two diagrams illustrating conceptual heterarchies (word association networks) and text discussing mathematical analysis of these networks. It contains a House Oversight Bates stamp, suggesting it was part of a larger document dump, likely related to investigations into Jeffrey Epstein's funding of scientific research.
Organizations (2)
| Name | Type | Context |
|---|---|---|
| CogPrime |
Mentioned in the text regarding network formation analysis.
|
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| House Oversight Committee |
Implied by the Bates stamp 'HOUSE_OVERSIGHT_013201' at the bottom of the page.
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Key Quotes (2)
"A rigorous mathematical analysis of the formation of hierarchical, heterarchical and dual networks in CogPrime systems has not yet been undertaken, and would certainly be an interesting enterprise."Source
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Quote #1
"However, the qualitative points made here are sufficiently well-grounded in intuition and experience to be of some use guiding our"Source
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Quote #2
Full Extracted Text
Complete text extracted from the document (987 characters)
15.3 Dual Network Structure 285
[Diagram 1 Nodes: COKE, QUENCH, WATER, DRY, THIRST, DRINK, HUNGER, REFRIGERATOR, DEFROST, FOOD, DRY, FROZEN, FREEZE, WINTER, SNOW, STOP, SOLID, BURN, COLD, THAW, ICE, FROSTBITE, MELT]
Fig. 15.5: Portions of a conceptual heterarchy centered on specific concepts.
[Diagram 2 Nodes: CLOCK, SPRING, FLOWER, SEASON, TIME, BEE, INSECT, ANIMAL]
Fig. 15.6: A portion of a conceptual heterarchy, showing the "dangling links" leading this portion to the rest of the heterarchy.
A rigorous mathematical analysis of the formation of hierarchical, heterarchical and dual networks in CogPrime systems has not yet been undertaken, and would certainly be an interesting enterprise. Similar to the theory of small world networks, there is ample ground here for both theorem-proving and heuristic experimentation. However, the qualitative points made here are sufficiently well-grounded in intuition and experience to be of some use guiding our
HOUSE_OVERSIGHT_013201
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