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Computational testbeds for coordination games

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Author
Myung, Noah
Romero, Julian
Date
2010-03-15
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Abstract
We propose a decision making process meant to mimic human behavior. This pprocess is implemented with computational agents. We use this computational testbed to run simulations of two coordination games, the minimum-effort coordination game and the battle of the sexes game. We find that the computational agents exhibit behavior similar to human subjects from previous experimental work. We then use the computational testbed to develop experimental hypothses, which are then confirmed in the laboratory using human subjects. In particular, we show that higher cost may actually lead to higher average payoffs in the minimum-effort coordination game.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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http://hdl.handle.net/10945/38003
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