Predicting human cooperation in the prisoner's dilemma using case-based decision theory

DOI10.1007/s11238-015-9495-yzbMath1378.91025OpenAlexW2032666165MaRDI QIDQ256769

Todd Guilfoos, Andreas Duus Pape

Publication date: 10 March 2016

Published in: Theory and Decision (Search for Journal in Brave)

Full work available at URL: https://digitalcommons.uri.edu/enre_facpubs/55

zbMATH Keywords

learningexperimental economicsagent-based computational economicsprisoner's dilemmacase-based decision theory

Mathematics Subject Classification ID

Decision theory (91B06) Memory and learning in psychology (91E40) Multistage and repeated games (91A20) Experimental studies (91A90)

Related Items (2)

Estimating case-based learning ⋮ Editorial. New directions in behavioral game theory: introduction to the special issue

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