A decision network account of reasoning about other people's choices.
- Resource Type
- Academic Journal
- Authors
- Jern A; Department of Humanities and Social Sciences, Rose-Hulman Institute of Technology, United States.; Kemp C; Department of Psychology, Carnegie Mellon University, United States.
- Source
- Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0367541 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7838 (Electronic) Linking ISSN: 00100277 NLM ISO Abbreviation: Cognition Subsets: MEDLINE
- Subject
- Language
- English
The ability to predict and reason about other people's choices is fundamental to social interaction. We propose that people reason about other people's choices using mental models that are similar to decision networks. Decision networks are extensions of Bayesian networks that incorporate the idea that choices are made in order to achieve goals. In our first experiment, we explore how people predict the choices of others. Our remaining three experiments explore how people infer the goals and knowledge of others by observing the choices that they make. We show that decision networks account for our data better than alternative computational accounts that do not incorporate the notion of goal-directed choice or that do not rely on probabilistic inference.
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