{"pk":31909,"title":"Modeling Inter-Category Topicality within a Symbolic Search Framework","subtitle":null,"abstract":"This paper addresses category typicality in the context of a category naming task. In contrast to the predominant effort with gradient models, a symbolic search framework is taken. Within this framework, the SC A (Symbolic Concept Acquisition) model demonstrates varying response times as a function of an instance's intra-category typicality. Here its coverage is expanded to inter-category typicality. A functionally motivated extension for SC A is advanced that pursues search backtracking under ambiguous cases. I explain how the backtracking extension accounts for inter-category typicality effects, and support it with some empirical evidence. I discuss how the effect generalizes to a larger class of symbolic search models.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Refereed Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/0ff63321","frozenauthors":[{"first_name":"Craig","middle_name":"S.","last_name":"Miller","name_suffix":"","institution":"Carnegie Mellon University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1994-01-01T13:00:00-05:00","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/31909/galley/22974/download/"}]}