Epstein Secrets

the lead author Ben Goertzel, the overall work and underlying ideas have been very much a team effort, with major input from the sec- ondary authors Cassio Pennachin and Nil Geisweiller, and large contributions from various other contributors as well. Nlany chapters have specifically indicated coauthors; but the

latter situation is disallowed on the software level, and is assumed in discussions not to occur. Sonic Atoms have natural names. For instance. the Schemallode corresponding to the ele- mentary schema function + may quite naturally be named "+". The NumberNode corresponding to the number .5 may naturally be

hat ExecutionLink X A B ExecutionLink2 A B means: X so that ExecutionLink A X B ExecutionLink3 A B means: X so that ExecutionLink A B X Finally, a Schemallode may be associated with a structure called a Graph. Where S is a Schemallode, Graph(S) (x,y): ExecutionLink S x y ) Sometimes, the graph of a Sche

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 disease. In Proceedings of 8th I

by the quest of figuring out which procedures can be expected to achieve a certain goal in a certain sort of context. • Grounded Schemallode: See Schemallode, Grounded. • Hebbian Learning: An aspect of Attention Allocation, centered on creating and updating HebbianLinks, which represent the simultaneous

OS 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 biases: The psychology of intuitive judgme

plementation, the system can still reason about its use of different mind dynamics by considering each MindAgent as a virtual Procedure with a real Schemallode attached to it. This can lead to some valuable learning, with the obvious limitation that in this approach the system is thinking about its MindAgen