Learning Theory and Experiments in Neuroeconomics

Masao Ogaki and Saori C. Tanaka ()
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Saori C. Tanaka: ATR Brain Information Communication Research Laboratory Group

Chapter Chapter 7 in Behavioral Economics, 2017, pp 105-114 from Springer

Abstract: Abstract Learning is an important factor in decision making under a novel or unstable environment. Reinforcement learning theory is a promising framework as a computational model of the brain in the process of the decision making in humans and animals. The hypothesis of dopamineDopamine in learning signals has been established by a huge amount of experimental evidence in animal neurophysiology and human imaging studies. The quest for the detailed neural mechanism of decision making is the first step to develop an economic theory that can explain real human behavior including individual preference.

Keywords: Reinforcement learning; Prediction error; Reward circuit (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/978-981-10-6439-5_7

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