Abstract
In real life games, a player’s belief about the consequence of a strategy is often ambiguous due to out-of-control factors in the environment where the games are played. However, existing work cannot handle this situation. To address the issue, we introduce a new kind of games, called ambiguous games, and incorporate human cognitive factors of ambiguity aversion and minimising regret to propose a concept of solution to such a game. Moreover, we also study how ambiguity degrees of belief about payoffs impact the outcomes of a game, and find the condition under which a player should release more or less ambiguous information to his opponents.
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Xiong, W., Luo, X., Ma, W. (2012). Games with Ambiguous Payoffs and Played by Ambiguity and Regret Minimising Players. In: Thielscher, M., Zhang, D. (eds) AI 2012: Advances in Artificial Intelligence. AI 2012. Lecture Notes in Computer Science(), vol 7691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35101-3_35
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DOI: https://doi.org/10.1007/978-3-642-35101-3_35
Publisher Name: Springer, Berlin, Heidelberg
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