Active Inference in Concept Learning

作者: Jonathan Nelson , Javier Movellan , None

DOI:

关键词: Artificial intelligenceTask (project management)InferenceHuman–computer interactionConcept learningComputer science

摘要: People are active experimenters, not just passive observers, constantly seeking new information relevant to their goals. A reasonable approach gathering is ask questions and conduct experiments that maximize the expected gain, given current beliefs (Fedorov 1972, MacKay 1992, Oaksford & Chater 1994). In this paper we present results on an exploratory experiment designed study people's behavior a concept learning task (Tenenbaum 2000). The of analyzed in terms gain asked by subjects.

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