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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
A Glossary JLO8. D. J. Jilk and C. Lebiere. and o'reilly. R. C. and Anderson, J. R. (2008). SAL: An explicitly pluralistic cognitive architecture. Journal of Experimental and Theoretical Artificial Intelligence, 20:197-218, 2008. Joh05. Mark Johnson. LATEX: A Developmental Cognitive Neuroscience. Wiley-Blackwell, 2005. Jolla. I. T. Joliffe. Principal Co
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
oks, 1958. JL08. D. J. Jilk and C. Lebiere. and o'reilly. R. C. and Anderson, J. R. (2008). SAL: An explicitly pluralistic cognitive architecture. Journal of Experimental and Theoretical Artificial Intelligence, 20:197-218, 2008. JM09. Daniel Jurafsky and James Martin. Speech and Language Processing. Pearson Prentice Hall, 2009. Joy00. Bill Joy. Why the
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
ooks, 1958. JLO8. D. J. Jilk and C. Lebiere. and o’reilly. R. C. and Anderson, J. R. (2008). SAL: An explicitly pluralistic cognitive architecture. Journal of Experimental and Theoretical Artificial Intelligence, 20:197—218, 2008. JMo9. Daniel Jurafsky and James Martin. Speech and Language Processing. Pearson Prentice Hall, 2009. Joy00. Bill Joy. Why the fu
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