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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
nd Implicit Knowledge Representation EFTA00624019 EFTA00624020 Chapter 13 Local, Global and Glocal Knowledge Representation Co-authored with Matthew Ikle, Joel Pitt and Rui Liu 13.1 Introduction One of the most powerful metaphors we've found for understanding minds is to view them as networks - i.e.
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
rative general intelligence for controlling game al in a minecralt-like environment. In Proc. of RICA 2011, 2011. CP1+10. Ben Goertzel, Joel Pitt, Matthew Ikle, Casein Pennachin, and Rui Liu. Glocal memory: a design principle for artificial brains and minds. Neurocomputing, April 2010. CPPG06. Ben Goertze
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
ledge Representation HOUSE_OVERSIGHT_013159 HOUSE_OVERSIGHT_013160 Chapter 13 Local, Global and Glocal Knowledge Representation Co-authored with Matthew Ikle, Joel Pitt and Rui Liu 13.1 Introduction One of the most powerful metaphors we’ve found for understanding minds is to view them as networks — i.e.
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
grative general intelligence for controlling game ai in a minecraft-like environment. In Proc. of BICA 2011, 2011. GPIt 10. Ben Goertzel, Joel Pitt, Matthew Ikle, Cassio Pennachin, and Rui Liu. Glocal memory: a design principle for artificial brains and minds. Neurocomputing, April 2010. GPPGO06. Ben Goertzel
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