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Published May 2010 | public
Book Section - Chapter

Cognitive hierarchy modelling of lab, field and neural data

Abstract

Cognitive hierarchy and level-k models assume players use steps of reasoning iteratively. Precision comes from making (and testing) various assumptions about the step distribution, beliefs of players at each step, and responsiveness to expected payoff. I describe several empirical examples of these models applied to lab experiments and two field settings. In addition, eyetracking and some neural evidence are supportive of the concept of limits of iterated thinking and suggest some interesting research directions.

Additional Information

© 2010 ACM.

Additional details

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August 19, 2023
Modified:
October 20, 2023