Rational theories of diagnostic reasoning assume that the reasoner’s goal is to infer the conditional probability of a cause given an effect from the available data. Typically, diagnostic reasoning is modeled within a statistical inference framework, …
How do people actively learn functional rules, i.e. a mapping of continuous inputs onto a continuous output? We investigate information search behavior in a multiple-feature function learning task in which participants either actively select or …
This chapter discusses diagnostic reasoning from the perspective of causal inference. The computational framework that provides the foundation for the analyses--probabilistic inference over graphical causal structures--can be used to implement …