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tic Logic Networks. Springer, 2008. CKD89. D. E. Goldberg, B. Korb, and K. Deb. Messy genetic algorithms: Motivation, analysis, and first results. Complex Systems, 1989. EFTA00624677 References 531 CLI0. Ben Coertzel and Ruiting Lian. A probabilistic characterization of fuzzy semantics. Proc. of ICAI-10,
, 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
ven Clues to the Origin of Life: A Scientific Detective Story. Cambridge University Press, 1990. Cse06. Peter Csermely. Weak Links: Stabilizers of Complex Systems from Proteins to Social Networks. Springer, 2006. CSG07. Subhojit Chakraborty, Anders Sandberg. and Susan A Greenfield. Differential dynamics of 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
Smith. Seven Clues to the Origin of Life: A Scientific Detective Story. Cambridge University Press, 1990. Peter Csermely. Weak Links: Stabilizers of Complex Systems from Proteins to Social Networks. Springer, 2006. Subhojit Chakraborty, Anders Sandberg, and Susan A Greenfield. Differential dynamics of tran- sien
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
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