Epstein Secrets

ges 51 Our goal in this chapter Ls to provide practical techniques for approximating the ideal pro- vided by algorithmic probability, based on what Pei Wang has termed the assumption of in- sufficient knowledge and resources tWan061, and assuming an AGI architecture that's at least vaguely humanlike in n

basic CogPrime terminology. Also, OpenCog and OpenCogPrime are open-source, so the reader who wishes to dig into the source code (mostly C++, some Python and Scheme) is welcome to; directions to find the code are on the opencog . org website. 3 EFTA00624150 4 19 The OpenCog Framework Level of Ab

achines. Oxford University Press, 2010. Wan95. P. Wang. Non-Axiomatic Reasoning System. PhD Thesis, Indiana University. Bloomington, 1995. Wan06. Pei Wang. Rigid Flexibility: The Logic of Intelligence. Springer. 2006. Was09. Mark Weser. Ethics for self-improving machines. In ACf-09, 2009. http://vimeo

th to Superhuman AGI Fide implication Dog Dog implication NIRO (.1) !lido a Nice Implication PLN Deduction Rule harchtoclyd on C • • or Python) O PLN INFERENCE DeClarative representation of PLN deduction rule in atomspace .... •. • PIA le a set a Schema Node that can modify the

Machines. Oxford University Press, 2010. Wan95. P. Wang. Non-Aziomatic Reasoning System. PhD Thesis, Indiana University. Bloomington, 1995. Wan06. Pei Wang. Rigid Flexibility: The Logic of Intelligence. Springer, 2006. Was09. Mark Waser. Ethics for self-improving machines. In AGI-09, 2009. http: //vimeo

0 18 Advanced Self-Modification: A Possible Path to Superhuman AGI Fido implication — Dog implication Nice PLN Deduction Rule (hard-coded in C++ or Python) ; (8) Fido. : —— > Nice implication - implication i icati N PLN is a set Fido P = Dog Dog bal ee Nice of Schema Nodes that can modify the Atomspac