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aolino Di Felice, and Daniel HernAindez. Qualitative representation of posi- tional information. Artificial Intelligence, 95:317-356, 1997. COPH09. Lucio Coelho, Ben Goertzel, Cassio Pennachin, and Chris Howard. Classifier ensemble based analysis of a genome-wide snp dataset concerning late-onset alzheimer d
, 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
Proc.of the First Conf. on AC1. IOS Press, 2008. Cer99. Michael Gershon. The Second Brain. Harper, 1999. CCC+11. Ben Goertzel, Nil Geisweiller, Lucio Coelho, Predrag Janicic, and Cassio Pennachin. Real World Reasoning. Atlantis, 2011. CCK02. T. Cilovich, D. Griffin, and D. Kahneman. Heuristics and bias
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
In Proc.of the First Conf. on AGI. IOS Press, 2008. Ger99. Michael Gershon. The Second Brain. Harper, 1999. GGCr11. Ben Goertzel, Nil Geisweiller, Lucio Coelho, Predrag Janicic, and Cassio Pennachin. Real World Reasoning. Atlantis, 2011. GGKO02. T. Gilovich, D. Griffin, and D. Kahneman. Heuristics and biase
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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