Generalization of Learning in Games of Strategic Interaction

Ion Juvina, Christian Lebiere, Cleotilde Gonzalez, Muniba Saleem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a laboratory study investigating the generalization of learning across two games of strategic interaction. The participants’ performance was higher when a game was played after, as compared to before, a different game. We found that the generalization of learning from one game to another was driven by both surface and deep similarities between the two games. We developed a computational cognitive model to investigate mechanisms of generalization. Model development highlighted some of the challenges of cognitive modeling in general and modeling strategic interaction in particular. We found that development of reciprocal trust was a key factor that explained the observed generalization effect.

Original languageEnglish
Title of host publicationBuilding Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012
EditorsNaomi Miyake, David Peebles, Richard P. Cooper
PublisherThe Cognitive Science Society
Pages521-526
Number of pages6
ISBN (Electronic)9780976831884
StatePublished - 2012
Externally publishedYes
Event34th Annual Meeting of the Cognitive Science Society: Building Bridges Across Cognitive Sciences Around the World, CogSci 2012 - Sapporo, Japan
Duration: Aug 1 2012Aug 4 2012

Conference

Conference34th Annual Meeting of the Cognitive Science Society: Building Bridges Across Cognitive Sciences Around the World, CogSci 2012
Country/TerritoryJapan
CitySapporo
Period8/1/128/4/12

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

Keywords

  • Cognitive modeling
  • Game theory
  • Generalization of learning
  • Strategic interaction

Disciplines

  • Psychology

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