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y different yet both appear cognitively necessary. The argument for using probability in an AGI system is assailed by some AGI researchers such as Pei Wang, but we are swayed by the theoretical arguments in favor of probability theory's mathematically fundamental nature, as well as the massive demonstra
ms of physical inferences. In Pro- ceedings of the Twentieth-Sixth Annual Conference of the Cognitive Science Society. 2004. CB00. W. H. Calvin and D. Bickerton. Lingua er Machin. MIT Press, 2000. CFH97. Eliseo Clementini, Paolino Di Felice, and Daniel HernAindez. Qualitative representation of posi- tional
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
Science Society. 2004. Cas0i. Nick Cassimatis. Adaptive algorithmic hybrids for human-level artificial intelligence. 2007. CB00. W. H. Calvin and D. Bickerton. Lingua ex Afachina. MIT Press. 2000. CR06. Rory Conolly and Jerry Blancato. Computational modeling of the liver. NCCT BOSC Review, 2006. http:
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
of the Cognitive Science Society. 2004. Nick Cassimatis. Adaptive algorithmic hybrids for human-level artificial intelligence. 2007. W.H. Calvin and D. Bickerton. Lingua ex Machina. MIT Press, 2000. Rory Conolly and Jerry Blancato. Computational modeling of the liver. NCCT BOSC Review, 2006. http://www.epa.go
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