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Beyond fictitious play beliefs: Incorporating pattern recognition and similarity matching

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  • Spiliopoulos, Leonidas

Abstract

Belief models capable of detecting 2- to 5-period patterns in repeated games by matching the current historical context to similar realizations of past play are presented. The models are implemented in a cognitive framework, ACT-R, and vary in how they implement similarity-based categorization—using either an exemplar or a prototype approach. Empirical estimation is performed on the elicited-belief data from two experiments (Nyarko and Schotter, 2002; Rutström and Wilcox, 2009) using repeated games with a unique, albeit significantly different, stage mixed-strategy Nash equilibrium. Model comparisons are performed by cross-validation both within and between these two datasets, and using data from completely unrelated non-strategic tasks. Subjectsʼ beliefs are best described by 2-period pattern detection. Parameter estimates exhibited considerable instability across the two belief-elicitation datasets, and surprisingly, using median values from a wide variety of unrelated studies led to better predictions.

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Bibliographic Info

Article provided by Elsevier in its journal Games and Economic Behavior.

Volume (Year): 81 (2013)
Issue (Month): C ()
Pages: 69-85

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Handle: RePEc:eee:gamebe:v:81:y:2013:i:c:p:69-85

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Web page: http://www.elsevier.com/locate/inca/622836

Related research

Keywords: Learning; Pattern recognition; Beliefs; Repeated games; Memory; Cognitive models; Behavioral game theory; ACT-R;

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