Modeling expert problem solving in a game of chance: A Yahtzee(C) case study

Modeling expert problem solving in a game of chance: A Yahtzee(C) case study

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Article ID: iaor20041070
Country: United States
Volume: 18
Issue: 2
Start Page Number: 88
End Page Number: 98
Publication Date: May 2001
Journal: Expert Systems
Authors: , , , , , , ,
Keywords: artificial intelligence: expert systems
Abstract:

Although developments on software agents have led to useful applications in automation of routine tasks such as electronic mail filtering, there is a scarcity of research that empirically evaluates the performance of a software agent versus that of a human reasoner, whose problem-solving capabilities the agent embodies. In the context of a game of a chance, namely Yahtzee(C), we identified strategies deployed by expert human reasoners and developed a decision tree for agent development. This paper describes the computer implementation of the Yahtzee game as well as the software agent. It also presents a comparison of the performance of humans versus an automated agent. Results indicate that, in this context, the software agent embodies human expertise at a high level of fidelity.

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