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, and suggested answers to each of them ISot III. Stephen Omohundro 1Omo081 has argued that any advanced A
ain is that synaptic connec- tions between neurons are adapted via some variant of Hebbian learning. The original Hebbian learning rule, proposed by Donald Hebb in his 1949 book [Heb49J, was roughly 1. The weight of the synapse x r y increases if x and y fire at roughly the same time 2. The weight of the sy
t Systems Workshop (PerAfIS 2008), 2008. MW07. Stephen Morgan and Christopher Winship. Counterfactuals a
d, 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 Superorganism: an evolutionary-cybernetic model of the emerging net- wo
t, and suggested answers to each of them [Sot11]. Stephen Omohundro [Omo08] has argued that any advanced AI
rain is that synaptic connec- tions between neurons are adapted via some variant of Hebbian learning. The original Hebbian learning rule, proposed by Donald Hebb in his 1949 book [Heb49], was roughly 1. The weight of the synapse 2 > y increases if x and y fire at roughly the same time 2. The weight of the syn
ligent Systems Workshop (PerMIS 2008), 2008. W07. Stephen Morgan and Christopher Winship. Counterfactuals a
sford, 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: an evolutionary-cybernetic model of the emerging net- wor
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