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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
g. In Proc. ACL, 2011. GIII. B. Coertzel and M. Ikle. Steps toward a geometry of mind. In J Schmidhuber and K Thorisson, editors, Subm.to ACI-11. Springer, 2011. CICH08. B. Goertzel, M. Ikle, I. Goertzel, and A. Heljakka. Probabilistic Logic Networks. Springer, 2008. CKD89. D. E. Goldberg, B. Korb,
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
learning. Proc. of the IEEE International Conf. on Learning and Development, Shanghai, China., 33, 2009. Bo198. B. Bollobas. Modern Graph Theory. Springer. 1998. EFTA00624119 344 A Glossary Bos02. Nick Beetroot. Existential risks. Journal of Evolution and Technology, 9, 2002. Bos03. Nick Bostrom
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
ve learning. Proc. of the IEEE International Conf. on Learning and Development, Shanghai, China., 33, 2009. Bol98. B. Bollobas. Modern Graph Theory. Springer, 1998. HOUSE_OVERSIGHT_013259 344 Bos02. Bos03. Bro84. BS04. Buc03. Bur62. BwWss. BZO03. BZGS06. Cal96. Car85. Car97. Cas85. Cas04. Cas07. C
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