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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
FTA00624680 534 A Glossary Sch06. .1. Schmidhuber. Code! machines: Fully Self-referential Optimal Universal Self-improvers. In B. Go- ertzel and C. Pennachin, editors, Artificial General Intelligence, pages 119-226. 2006. SDCCK08a. Steven Schockaert, Martine De Cock. Chris Cornelis, and Etienne E. Kerne.
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
EFTA00624125 350 A Glossary Sch06. J. Schmidhuber. Godel machines: Ashy Self-referential Optimal Universal Self-improvers. In B. Goertzel and C. Pennachin, editors, Artificial General Intelligence, pages 119-226. 2006. Sch07. Dale Schunk. Theories of Learning: An Educational Perspective. Prentice Hall
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
_OVERSIGHT_013265 350 A Glossary Sch06. J. Schmidhuber. Godel machines: Fully Self-referential Optimal Universal Self-improvers. In B. Goertzel and C. Pennachin, editors, Artificial General Intelligence, pages 119-226. 2006. SchO7. Dale Schunk. Theories of Learning: An Educational Perspective. Prentice Hall,
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