Epstein Secrets

g up a block in the dark is a perfect example of rich coupling of perception and action networks. Feeli

, 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

enough, in the sense that they lack sufficiently rich and nuanced interactions EFTA00623805 30 2 Wh

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

twork, in which a hierarchy exists, along with a rich network of heterarchical links joining nodes in t

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

enough, in the sense that they lack sufficiently rich and nuanced interactions HOUSE_OVERSIGHT_012945

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

etwork, in which a hierarchy exists, along with a rich network of heterarchical links joining nodes in t

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