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(mentions)
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Documents | Actions |
|---|---|---|---|---|
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person
Mizar database
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Technical training |
5
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1 | |
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person
Ben Goertzel
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Creator originator |
5
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1 | |
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person
Teacher
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Ai user or student teacher simulation |
5
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person
DeSTIN
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Component |
5
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person
Ben Kuipers
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Comparison |
5
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organization
ACT-R
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Technical comparison |
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1 | |
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organization
OpenCog
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Software implementation |
1
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1 |
This document is page 336 of a technical glossary, likely from a book or academic paper regarding Artificial General Intelligence (AGI). It defines technical terms related to the 'OpenCog' and 'CogPrime' cognitive architectures, including 'Lojban', 'Long Term Importance (LTI)', 'Map Encapsulation', and 'MindAgent'. While the text is purely technical, the document bears a 'HOUSE_OVERSIGHT' Bates stamp, indicating it was collected as evidence during a congressional investigation, likely related to Jeffrey Epstein's funding of scientific research and his connections to AI researchers.
This document is page 335 of a technical glossary, specifically Appendix A.2, defining specialized terms related to Artificial Intelligence and the OpenCog framework. It defines terms such as Knowledge Base, Language Comprehension, Learning Server, and Link Parser. While part of a House Oversight document dump (likely related to investigations into Epstein's funding of science/AI research), the page itself contains purely technical definitions and mentions creators Sleator and Temperley from Carnegie-Mellon University.
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.
This document is page 331 of a glossary from a scientific paper or book regarding Artificial Intelligence, specifically focusing on the OpenCog architecture. It defines technical terms such as 'Embodiment,' 'Emotion' (referencing Dorner's Psi theory), 'Evolutionary Learning' (referencing MOSES), and 'Fishgram.' The document bears a 'HOUSE_OVERSIGHT_013247' stamp, indicating it was part of a document production to the US House Oversight Committee, likely related to investigations into Jeffrey Epstein's funding of or interest in AI and transhumanist research.
This is page 330 of a larger document, specifically a glossary section of a scientific or academic paper regarding Artificial General Intelligence (AGI). It defines technical terms including 'Derived Hypergraph,' 'DeSTIN,' 'Dialogue,' 'Dimensional Embedding,' 'Distributed Atomspace,' 'Dual Network,' 'Efficient Pragmatic General Intelligence,' and 'Elegant Normal Form.' While part of a House Oversight dump (likely related to Epstein's funding of scientific research), the content of this specific page is purely technical.
This document is page 327 of a technical glossary (Appendix A.2) related to Artificial Intelligence software, specifically the 'OpenCog' architecture. It defines technical terms such as 'AGI Preschool,' 'Atom,' 'Attention Allocation,' and 'Attentional Currency.' While part of a House Oversight document dump (indicated by the footer HOUSE_OVERSIGHT_013243), the content itself is purely technical and contains no direct references to Jeffrey Epstein, specific individuals, or financial transactions.
This document is page 325 of a larger report, specifically 'Appendix A: Glossary' containing a list of specialized acronyms related to Artificial General Intelligence (AGI) and computer science. It defines terms used in the context of 'CogPrime' and 'OpenCog' systems. The page bears the Bates stamp HOUSE_OVERSIGHT_013241, indicating it was part of evidence gathered during the House Oversight Committee's investigation, likely related to scientific projects funded by or pitched to Jeffrey Epstein.
This document is page 322 of a technical academic text titled 'Advanced Self-Modification: A Possible Path to Superhuman AGI'. It discusses computer science concepts regarding 'supercompilation', 'driving', and 'configuration analysis' specifically in the context of an AGI system called 'CogPrime'. While the content is purely technical, the footer 'HOUSE_OVERSIGHT_013238' indicates this document was collected as evidence during a congressional investigation, likely related to Jeffrey Epstein's funding of or involvement with AI/AGI scientists and research organizations.
This document is page 319 of a technical book or paper regarding Artificial Intelligence architecture, specifically discussing 'CogPrime,' 'MindAgents,' and 'Self-Modification via Supercompilation.' It outlines technical theories on how an AI system can learn cognitive schemas to replace hard-wired agents. While the text itself contains no specific names or dates, the Bates stamp 'HOUSE_OVERSIGHT_013235' indicates it was part of the House Oversight Committee's investigation, likely included in files related to Epstein's funding of or interest in AI research (such as Ben Goertzel's OpenCog project).
This document is page 318 from a technical book or academic paper titled '18 Advanced Self-Modification: A Possible Path to Superhuman AGI'. It discusses theoretical concepts of Artificial General Intelligence (AGI), specifically focusing on 'CogPrime,' 'MindAgents,' and the ethics of self-modifying AI systems. The page bears the Bates stamp 'HOUSE_OVERSIGHT_013234', indicating it was produced as part of a House Oversight Committee investigation, likely related to Jeffrey Epstein's funding of scientific research and AI projects.
This document is the first page of Chapter 16, titled "AGI Preschool," co-authored with Stephan Vladimir Bugaj. It introduces the challenges of evaluating Artificial General Intelligence (AGI), contrasting the difficulty of creating precise quantitative metrics with the practical necessity of qualitative evaluation environments for systems like OpenCogPrime. The authors argue that rigorous testing of incomplete systems is less valuable than finishing the implementation, but emphasize the need for rich environments to intuitively understand complex system behaviors.
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.
This document is a page (p. 283) from a scientific text, likely related to Artificial General Intelligence (AGI) or cognitive science, discussing 'Dual Network Structure' and 'CogPrime.' It includes a diagram of a biological process hierarchy and text referencing Douglas Hofstadter and Hebbian links. The document bears a 'HOUSE_OVERSIGHT_013199' stamp, indicating it was part of the evidence collection for the House Oversight Committee's investigation.
This document is page 281 from a technical book or scientific paper regarding Artificial General Intelligence (AGI), specifically discussing 'Dual Network Structure' and 'Hierarchical Networks' within the 'CogPrime' architecture. It references technical concepts such as Atomspace, ECAN, WordNet, DeSTIN, and HTM. The document bears the Bates stamp 'HOUSE_OVERSIGHT_013197', indicating it was included in evidence files for the House Oversight Committee's investigation, likely related to Jeffrey Epstein's known funding of science and AI research (specifically Ben Goertzel's work, though he is not named on this specific page).
This document is a single page (p. 277) from a technical academic text titled 'Implications of Patternist Philosophy for Derived Hypergraphs of Intelligent Systems.' The text discusses cognitive algorithms, specifically 'CogPrime' and 'SMEPH,' using 'Iraq' as an example of a data Node or Map. While the content is purely scientific/technical regarding Artificial Intelligence, the footer 'HOUSE_OVERSIGHT_013193' indicates this document was part of a larger batch reviewed by the House Oversight Committee, likely related to Jeffrey Epstein's connections to or funding of scientific research and AI projects.
This document is a page (p. 276) from a technical academic text, likely a book or paper on Artificial General Intelligence (AGI). It discusses the 'Cognitive Equation Principle' and 'SMEPH Principles' within the 'CogPrime' architecture, detailing how intelligent systems represent implicit knowledge via hypergraphs, nodes, and links. The document bears a 'HOUSE_OVERSIGHT' Bates stamp, indicating it was produced as evidence in a congressional investigation, likely related to Jeffrey Epstein's funding of or interest in scientific research and AI.
This document is page 271 from a technical book or academic paper discussing Artificial Intelligence, specifically Chapter 14: 'Representing Implicit Knowledge via Hypergraphs.' The text details the 'CogPrime' architecture, the concept of 'glocality,' and 'SMEPH' (Self-Modifying, Evolving Probabilistic Hypergraphs). While the content is purely scientific/technical, the page bears the Bates stamp 'HOUSE_OVERSIGHT_013187,' indicating it is part of a larger document production for a House Oversight investigation, likely related to Jeffrey Epstein's connections to or funding of scientists and AI research.
This document is page 269 from a technical scientific text (likely a book on Artificial General Intelligence) marked with a House Oversight Committee stamp (HOUSE_OVERSIGHT_013185). The text discusses 'Glocal Memory' and 'Neural-Symbolic Glocality in CogPrime,' detailing technical aspects of Hopfield networks, neural net weights, and knowledge representation in an AGI architecture. While part of an Epstein-related document dump (Epstein was known to fund AGI research), the page itself contains no names, financial data, or correspondence, strictly presenting scientific theory.
This document is page 261 of a technical academic text (Section 13.6) discussing 'Glocal Memory' within the context of Artificial Intelligence and neuroscience. It contrasts human memory with von Neumann computer architecture and discusses the implementation of these concepts in 'CogPrime' and 'Economic Attention Networks (ECANs).' While the content is purely scientific/technical regarding AI, the footer 'HOUSE_OVERSIGHT_013177' indicates this page was part of a document production to the House Oversight Committee, likely related to investigations into Jeffrey Epstein's funding of or connections to AI researchers and scientists.
This document is page 260 of a scientific text, likely a book or manuscript regarding Artificial Intelligence and Neuroscience (specifically the 'CogPrime' architecture). It discusses 'Glocal Memory' and compares the CogPrime system to Gerald Edelman's theories of 'Neural Darwinism' and neuronal group selection. The document bears a House Oversight stamp, indicating it was included in evidence files, likely due to Epstein's connections to the scientific community and funding of AI research.
This document is page 257 of a scientific text titled 'Knowledge Representation via Attractor Neural Networks,' specifically section 13.4.2 regarding 'Cell Assemblies.' It discusses Hopfield nets, the CogPrime architecture, and cites researchers Gunther Palm, Susan Greenfield, and Edelman regarding neural theory. The page bears the Bates stamp 'HOUSE_OVERSIGHT_013173', indicating it was evidence in a US House Oversight investigation, likely related to Jeffrey Epstein's connections to the scientific community.
This document is a page from a scientific text (likely a book or technical paper) discussing Artificial Intelligence, specifically 'Knowledge Representation via Attractor Neural Networks.' It details the mechanics of the 'Hopfield neural net model,' including mathematical formulas for neuron activation and weight calculation (Hebbian rule). While the text is purely academic, the footer 'HOUSE_OVERSIGHT_013172' indicates this page was collected as evidence by the House Oversight Committee, likely as part of an investigation into Jeffrey Epstein's ties to the scientific community and funding of AI research (e.g., connections to figures like Marvin Minsky or the OpenCog project associated with 'CogPrime').
This document is page 255 of a technical academic text regarding Artificial Intelligence architectures, specifically 'OpenCog' and 'CogPrime.' It details technical specifications for 'Atoms,' 'Nodes,' and 'Truth Values' used in AI data processing and natural language understanding. While technical in nature, the document bears the Bates stamp 'HOUSE_OVERSIGHT_013171,' indicating it was collected as evidence during the House Oversight Committee's investigation into Jeffrey Epstein, likely stemming from his funding of or interest in specific scientific research and AI projects.
This document is Page 245 (Chapter 13) of a scientific text titled 'Local, Global and Glocal Knowledge Representation,' co-authored by Matthew Ikle, Joel Pitt, and Rui Liu. The text discusses Artificial General Intelligence (AGI), specifically within the context of the 'CogPrime' system, and analyzes different methods of knowledge representation (local vs. global vs. glocal) in neural and patternist networks. The document bears a House Oversight Bates stamp, indicating it was part of evidence collected during an investigation, likely related to Jeffrey Epstein's funding of scientific research.
This document appears to be a page from a technical paper or book regarding Artificial General Intelligence (AGI) ethics and development strategies. It argues for the co-advancement of software and ethics and suggests that starting AGI development sooner rather than later is safer to prevent dangerous outpacing of ethical theory. It references the 'CogPrime project' and bears a 'HOUSE_OVERSIGHT' footer, indicating it was produced as evidence in a congressional investigation (likely related to Jeffrey Epstein's funding of AI researchers).
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