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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
ity and Artificial Intelligence: A Conceptual Blending Approach, Applications of Cognitive Linguistics. Amsterdam: Mouton de Gruyter, 2006. Cas04. N. L. Cassimatis. Grammatical processing using the mechanisms of physical inferences. In Pro- ceedings of the Twentieth-Sixth Annual Conference of the Cognitive Scien
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
R Caruana. Multitask learning. Machine Learning, 1997. Cas85. R. Case. Intellectual development: Birth to adulthood. Academic Press, 1985. Cas04. N. L. Cassimatis. Grammatical processing using the mechanisms of physical inferences. In Pro- ceedings of the Twentieth-Sixth Annual Conference of the Cognitive Scien
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
T Press, 1985. R Caruana. Multitask learning. Machine Learning, 1997. R. Case. Intellectual development: Birth to adulthood. Academic Press, 1985. N. L. Cassimatis. Grammatical processing using the mechanisms of physical inferences. In Pro- ceedings of the Twentieth-Sixth Annual Conference of the Cognitive Scien
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