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Article
Game-Specific and Player-Specific Knowledge Combine to Drive Transfer of Learning Between Games of Strategic Interaction
International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation
  • Michael G. Collins
  • Ion Juvina, Wright State University - Main Campus
  • Kevin A. Gluck
Document Type
Article
Publication Date
6-12-2016
Abstract

Trust in others transfers between games of strategic interaction (e.g., iterated Prisoner’s Dilemma– PD and Chicken Game – CG). This transfer of trust represents knowledge acquired about the other player (player-specific knowledge), carrying over from one situation to another, which is separate from what was learned about the previous game (game-specific knowledge). We examine how the transfer of both player-specific and game-specific knowledge informs one’s decisions when interacting with a new player. In this paper, we present the experimental design of an upcoming study, where participants will sequentially play two games of strategic interaction (PD & CG) with the same or a different computerized confederate agent. In addition to the experimental design, we present model predictions, using a previously published computational cognitive model of trust dynamics. The model predicts transfer of learning effects in both conditions and larger effects when interacting with the same agent.

DOI
10.1007/978-3-319-39931-7_18
Citation Information
Michael G. Collins, Ion Juvina and Kevin A. Gluck. "Game-Specific and Player-Specific Knowledge Combine to Drive Transfer of Learning Between Games of Strategic Interaction" International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation (2016) p. 186 - 195 ISSN: 978-3-319-39930-0
Available at: http://works.bepress.com/ion_juvina/54/