{"pk":32221,"title":"Modeling Embodied Lexical Development","subtitle":null,"abstract":"This paper presents an implemented computational model of lexical development for the case of action verbs. A simulated agent is trained by an informant giving labels to the agent's actions (here hand motions] and the system learns to both label and carry out similar actions. Computationally, the system employs a novel form of active representation and is explicitly intended to be neurally plausible. The learning methodology is a version of Bayesian model merging (Omohundro, 1992). The verb learning model is placed in the broader context of the L0 project on embodied natural language and its acquisition.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Long Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/0876n2jf","frozenauthors":[{"first_name":"David","middle_name":"","last_name":"Bailey","name_suffix":"","institution":"International Computer Science Institute and University of California, Berkeley","department":""},{"first_name":"Jerome","middle_name":"","last_name":"Feldman","name_suffix":"","institution":"Dept Mathematics, U.C. Berkeley","department":""},{"first_name":"Srini","middle_name":"","last_name":"Narayanan","name_suffix":"","institution":"Department of Psychology, University of Chicago","department":""},{"first_name":"George","middle_name":"","last_name":"Lakoff","name_suffix":"","institution":"Department of Psychology, University of Chicago","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1997-01-01T10:00:00-08:00","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/32221/galley/23286/download/"}]}