Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4351457 | Neuroscience Research | 2014 | 10 Pages |
Abstract
When an individual chooses one item from two or more alternatives, they compare the values of the expected outcomes. The outcome value can be determined by the associated reward amount, the probability of reward, and the workload required to earn the reward. Rational choice theory states that choices are made to maximize rewards over time, and that the same outcome values lead to an equal likelihood of choices. However, the theory does not distinguish between conditions with the same reward value, even when acquired under different circumstances, and does not always accurately describe real behavior. We have found that allowing a monkey to choose a reward schedule endows the schedule with extra value when compared to performance in an identical schedule that is chosen by another agent (a computer here). This behavior is not consistent with pure rational choice theory. Theoretical analysis using a modified temporal-difference learning model showed an enhanced schedule state value by self-choice. These results suggest that an increased reward value underlies the improved performances by self-choice during reward-seeking behavior.
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Authors
Tsuyoshi Setogawa, Takashi Mizuhiki, Narihisa Matsumoto, Fumika Akizawa, Munetaka Shidara,