AI RESEARCH
Human strategic decision making in parametrized games
arXiv CS.AI
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ArXi:2104.14744v4 Announce Type: replace-cross Many real-world games contain parameters which can affect payoffs, action spaces, and information states. For fixed values of the parameters, the game can be solved using standard algorithms. However, in many settings agents must act without knowing the values of the parameters that will be encountered in advance. Often the decisions must be made by a human under time and resource constraints, and it is unrealistic to assume that a human can solve the game in real time.