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rnhard Canter, Gerd Stumme, and Rudolf Wille. Formal Concept Analysis: Foundations and Applications. 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,
to learn procedures that will maxi- mize some Goal whose Truth Value is estimated via an expected reward calculation (where "reward" may mean simply the Truth Value of some Atom defined as "reward"). Goal-driven learning is more general than reinforcement learning as thus defined; and the learning that CogPrime does, which
es. The second naive physics manifesto. In R. Shaw lz J. Branford, editor, Formal Theories of the Commonsense World. 1985. 11206. Jeff Hawkins and Sandra Blakeslee. On Intelligence. Brown Walker, 2006. Heb49. Donald Hebb. The organisation of behavior. Wiley, 1949. Hey07. F. Heylighen. The Global Superorganis
to learn procedures that will maxi- mize some Goal whose Truth Value is estimated via an expected reward calculation (where "reward" may mean simply the Truth Value of some Atom defined as "reward"). Goal-driven learning is more general than reinforcement learning as thus defined; and the learning that CogPrime does, which
Hayes. The second naive physics manifesto. In R. Shaw & J. Bransford, editor, Formal Theories of the Commonsense World. 1985. HBO6. Jeff Hawkins and Sandra Blakeslee. On Intelligence. Brown Walker, 2006. Heb49. Donald Hebb. The organization of behavior. Wiley, 1949. Hey07. F. Heylighen. The Global Superorganism:
to learn procedures that will maxi- mize some Goal whose Truth Value is estimated via an expected reward calculation (where *reward” may mean simply the Truth Value of some Atom defined as ”reward”). Goal-driven learning is more general than reinforcement learning as thus defined; and the learning that CogPrime does, which is
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