The elegant computational model of addiction described by A. D. Redish in his Report “Addiction as a computational process gone awry” (10 Dec. 2004, p. [1944][1]) has the potential to provide an explanation for the placebo effect. In the temporal-difference reinforcement learning model (TDRL),
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Irizarry et al. (2005) studied this question.
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