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 language | English |
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Title of host publication | Building Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012 |
Editors | Naomi Miyake, David Peebles, Richard P. Cooper |
Publisher | The Cognitive Science Society |
Pages | 521-526 |
Number of pages | 6 |
ISBN (Electronic) | 9780976831884 |
State | Published - 2012 |
Externally published | Yes |
Event | 34th Annual Meeting of the Cognitive Science Society: Building Bridges Across Cognitive Sciences Around the World, CogSci 2012 - Sapporo, Japan Duration: Aug 1 2012 → Aug 4 2012 |
Conference
Conference | 34th Annual Meeting of the Cognitive Science Society: Building Bridges Across Cognitive Sciences Around the World, CogSci 2012 |
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Country/Territory | Japan |
City | Sapporo |
Period | 8/1/12 → 8/4/12 |
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