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g. In Proc. ACL, 2011. GIII. B. Coertzel and M. Ikle. Steps toward a geometry of mind. In J Schmidhuber and K Thorisson, editors, Subm.to ACI-11. Springer, 2011. CICH08. B. Goertzel, M. Ikle, I. Goertzel, and A. Heljakka. Probabilistic Logic Networks. Springer, 2008. CKD89. D. E. Goldberg, B. Korb,
, 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
learning. Proc. of the IEEE International Conf. on Learning and Development, Shanghai, China., 33, 2009. Bo198. B. Bollobas. Modern Graph Theory. Springer. 1998. EFTA00624119 344 A Glossary Bos02. Nick Beetroot. Existential risks. Journal of Evolution and Technology, 9, 2002. Bos03. Nick Bostrom
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
ve learning. Proc. of the IEEE International Conf. on Learning and Development, Shanghai, China., 33, 2009. Bol98. B. Bollobas. Modern Graph Theory. Springer, 1998. HOUSE_OVERSIGHT_013259 344 Bos02. Bos03. Bro84. BS04. Buc03. Bur62. BwWss. BZO03. BZGS06. Cal96. Car85. Car97. Cas85. Cas04. Cas07. C
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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