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assible. EFTA00624343 Chapter 31 Learning Procedures via Imitation, Reinforcement and Correction Co-authored with Moshe Looks, Samir Araujo and Welter Silva 31.1 Introduction In procedure learning as elsewhere in cognition, it's not enough to use the right algorithm, one has to use it in the right way
as control shifts between competing brain regions, again, based on high-level "cognitive demand." Deacon's intuition is similar to the one that led Edelman to propose Neural Darwinism tEcle931, and Calvin and Bickerton IC13001 to pose the notion of mind as a "Darwin Machine". The latter have given plau
rah Duong, Paul Prueitt, Glenn Tarbox, Nil Geisweiller and Cassio Pennachin (the co-authors of this book), Sibley Verbeck, Jeff Reed, Pejman Makhfi, Welter Silva, Lukasz Kaiser and more • All theme who have helped with the OpenCog system, including Linas Vepstas, Joel Pitt, Jared Wigmore / Jade O'Neill, Zhe
r-level behaviors like reasoning or subgoaling. • NOMAD (Neurally Organized Mobile Adaptive Device) automata and its successors [K EMI are based on Edelman's "Neural Darwinism" model of the brain, and feature large numbers of simulated neurons evolving by natural selection into configurations that carry
orah Duong, Paul Prueitt, Glenn Tarbox, Nil Geisweiller and Cassio Pennachin (the co-authors of this book), Sibley Verbeck, Jeff Reed, Pejman Makhfi, Welter Silva, Lukasz Kaiser and more All those who have helped with the OpenCog system, including Linas Vepstas, Joel Pitt, Jared Wigmore / Jade O'Neill, Zhenhua
er-level behaviors like reasoning or subgoaling. e NOMAD (Neurally Organized Mobile Adaptive Device) automata and its successors [KE06] are based on Edelman’s “Neural Darwinism” model of the brain, and feature large numbers of simulated neurons evolving by natural selection into configurations that carry
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