Game-specific and player-specific knowledge combine to drive transfer of learning between games of strategic interaction

0Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Collins, M. G., Juvina, I., & Gluck, K. A. (2016). Game-specific and player-specific knowledge combine to drive transfer of learning between games of strategic interaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9708 LNCS, pp. 186–195). Springer Verlag. https://doi.org/10.1007/978-3-319-39931-7_18

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free