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Abstract or Description
Everyday inductive reasoning draws on many kinds of knowledge, including knowledge about relationships between properties and know ledge about relation- ships between objects. Previous accounts of inductive reasoning generally focus on just one kind of knowledge: models of causal reasoning oft en focus on relationships between properties, and models of similarity- based reasoning often focus on similarity relationships between objects. We present a Bayesian model of inductive reasoning that incorporates both kinds of know ledge, and show that it accounts well for human inferences about the properties o f biological species.
Advances in Neural Information Processing Systems , 19.