{"pk":30452,"title":"Bayesian Networks: A Model of Self-Activated Memory for Evidential Reasoning","subtitle":null,"abstract":"The paper reports recent results from the theory of Bayesian networks, which offer a viable formalizsm for realizing the computational objectives of connectionist models of knowledge. In particular, we show that the Bayseian network formalism is supportive of self-activated, multidirectional proagation of evidence that converges rapidly to a globally-consistent equilibrium.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Poster Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/0vr7830n","frozenauthors":[{"first_name":"Judea","middle_name":"","last_name":"Peal","name_suffix":"","institution":"University of California, Los Angeles","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1985-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/30452/galley/20301/download/"}]}