Abstract
To study social behavior, researchers studied simple games like the multi-round trust game. Based on experimental data, several models have been proposed to explain how players behave in the third and following rounds depending on their previous behavior in this game. However, none of these models explain the behavior in the first rounds. In this paper, we show that cooperative game theory can lead to a partial explanation of the trustees’ (and investors’) behavior in the first rounds.
Publisher
Fuji Technology Press Ltd.
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction
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