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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
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
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
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
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
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
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