Date of Original Version

2003

Type

Conference Proceeding

Rights Management

All Rights Reserved

Abstract or Description

Current psychological theories of human causal learning and judgment focus primarily on long-run predictions: two by estimating parameters of a causal Bayes nets (though for different parameterizations), and a third through structural learning. This paper focuses on people’s short-run behavior by examining dynamical versions of these three theories, and comparing their predictions to a real-world dataset.

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Philosophy Commons

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