Epstein Secrets

Goel0b. Ben et al Coertzel. A general intelligence oriented architecture for embodied natural language processing. In Proc. of the Third Conf. on Artificial General Intelligence (ACI-10). Atlantis Press, 2010. Cool 1 a. B Coertzel. Integrating a compositional spatiotemporal deep learning network with symbolic representati

, ImplicationLink, etc.) or a fuzzy value (as in MemberLink, EvaluationLink). • Strong Self-Modification: This is generally used as synonymous with Self-Modification, in a CogPrime context. • Subsymbolic: Involving processing of data using elements that have no correspondence to natural language terms, nor abst

cal conceptual issues related to the nature of intel- ligence and mind. It then sketches the broad outlines of a novel, integrative architecture for Artificial General Intelligence (AGI) called CogPrime ... and describes an approach for giving a young AGI system (CogPrime or otherwise) appropriate experience, so that it can dev

Supercompilation 319 18.3.1 Three Aspects of Supercompilation 321 18.3.2 Supercompilation for Goal-Directed Program Modification 322 18.4 Self-Modification via Theorem-Proving 323 A Glossary 325 A.1 List of Specialized Acronyms 325 A.2 Glossary of Specialized Terms 326 References 343 EFTA006

Coel0d. Ben et al Coertzel. A general intelligence oriented architecture for embodied natural language processing. In Proc. of the Third Conf. on Artificial General Intelligence (AGI-10). Atlantis Press, 2010. Coo86. I. Good. The Estimation of Probabilities. Cambridge, MA: MIT Press, 1986. Cor86. R. Gordon. Folk psycholo

cision graph looks like: Input: List L Output: List If ( P1 (L) ) N1(L) Else If ( P2 (L) ) N2 (L) Else If ( Pk (L) ) Nk(L) EFTA00624098 18.4 Self-Modification via Theorem-Proving 323 where the Pi are predicates, and the Ni are schemata corresponding to other nodes of the decision graph (children of the c

ical conceptual issues related to the nature of intel- ligence and mind. It then sketches the broad outlines of a novel, integrative architecture for Artificial General Intelligence (AGT) called CogPrime ... and describes an approach for giving a young AGI system (CogPrime or otherwise) appropriate experience, so that it can deve

cts of Supercompilation .............0..00 000022 eee eee ee 321 18.3.2 Supercompilation for Goal-Directed Program Modification............. 322 18.4 Self-Modification via Theorem-Proving ........... 0.00 eee eee eee 323 A Glossary ..... 0.00000 tne teen eee 325 A.1 List of Specialized Acronyms.........0.. 00 0c ce

0. Goel0d. Ben et al Goertzel. A general intelligence oriented architecture for embodied natural language processing. In Proc. of the Third Conf. on Artificial General Intelligence (AGI-10). Atlantis Press, 2010. Goo86. I. Good. The Estimation of Probabilities. Cambridge, MA: MIT Press, 1986. Gor86. R. Gordon. Folk psychology

nt decision graphs. The decision graph leading to maximal optimization, may not be the one that leads CogPrime cognition in optimal directions. 18.4 Self-Modification via Theorem-Proving Supercompilation is a potentially very valuable tool for self-modification. If one wants to take an existing schema and graduall