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e of the Cognitive Science Society. 2004. CB00. W. H. Calvin and D. Bickerton. Lingua er Machin. MIT
. Springer-Verlag, 2005. HB06. Jeff Hawkins and Sandra Blakeslee. On Intelligence. Brown Walker, 2006. HDY+12. Geoffrey Hinton, Li Deng, bong Yu, George bald, Abdel rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, and Tara Sainathand Brian Kingsbury. Deep neural netw
rom different perspectives may be grouped into CompositeTruthValue objects. • Universal Intelligence: A technical term introduced by Shane Legg and Marcus Hutter, describing (roughly speaking) the average capability of a system to carry out computable goals in computable environments, where goal/environment
obabilities, so that we may say: M(W) is the probability distribution of state-sets the organism tends to be in, when its environment is in state-set W. (Recall also that state-sets are fuzzy.) Now one may look at the spaces of world-paths and mind-paths. A world-path is a path through the world’s tr
rigor. Perhaps the most carefully- wrought formalization of intelligence so far is the theory of “universal intelligence” presented by Shane Legg and Marcus Hutter in [LI07b], which draws on ideas from algorithmic information theory. Universal intelligence captures a certain aspect of the “intelligence” concept
of the Body. Harvard University Press, 1962. R. W. Byrne and A. Whiten. Machiavellian Intelligence.
from different perspectives may be grouped into CompositeTruthValue objects. e Universal Intelligence: A technical term introduced by Shane Legg and Marcus Hutter, describing (roughly speaking) the average capability of a system to carry out computable goals in computable environments, where goal/environment pa
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