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ges 51 Our goal in this chapter Ls to provide practical techniques for approximating the ideal pro- vided by algorithmic probability, based on what Pei Wang has termed the assumption of in- sufficient knowledge and resources tWan061, and assuming an AGI architecture that's at least vaguely humanlike in n
gument for the CogPrime Approach 477 49.1 Introduction 477 49.2 Multi-Memory Systems 477 49.3 Perception, Action and Environment 478 49.4 Developmental Pathways 479 49.5 Knowledge Representation 480 49.6 Cognitive Processes 480 49.6.1 Uncertain Logic for Declarative Knowledge 481 49.6.2
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
rad. Understanding Natural Language. Edinburgh University Press, 1972. Wit07. David C. Witherington. The Dynamic Systems Approach as Metatheory for Developmental Psy- chology, Human Development. 50, 2007. Wol02. Stephen Wolfram. A New Kind of Science. Wolfram Media. 2002. WW06. Matt Williams and Jon Willia
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
grad. Understanding Natural Language. Edinburgh University Press, 1972. Wit07. David C. Witherington. The Dynamic Systems Approach as Metatheory for Developmental Psy- chology, Human Development. 50, 2007. Wol02. Stephen Wolfram. A New Kind of Science. Wolfram Media, 2002. WwWwoe. Matt Williams and Jon Willia
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