David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Behavioral and Brain Sciences 32 (2):204-205 (2009)
Mitchell et al. argue that conditioning phenomena may be better explained by high-level, rational processes, rather than by non-cognitive associative mechanisms. This commentary argues that this viewpoint is compatible with neuroscientific data, may extend to nonhuman animals, and casts computational models of reinforcement learning in a new light
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References found in this work BETA
A. C. Courville, N. D. Daw & D. S. Touretzky (2006). Bayesian Theories of Conditioning in a Changing World. Trends in Cognitive Sciences 10 (7):294-300.
William A. Cunningham & Philip David Zelazo (2007). Attitudes and Evaluations: A Social Cognitive Neuroscience Perspective. Trends in Cognitive Sciences 11 (3):97-104.
Alison Gopnik & Laura Schulz (eds.) (2007). Causal Learning: Psychology, Philosophy, and Computation. Oxford University Press.
Judea Pearl (1988). Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann.
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