{"pk":31429,"title":"Fuzzy Evidential Logic: A Model of Causality for Commonsense Reasoning","subtitle":null,"abstract":"This paper proposes a fuzzy evidential model for commonsense causal reasoning. After an analysis of the advantages and limitations of existing accounts of causality, a generalized rule-based model F E L {Fuzzy Evidential Logic) is proposed that takes into account the inexactness and the cumulative evidentiality of commonsense reasoning. It corresponds naturally to a neural (connectionist) network. Detailed analyses are performed regarding how the model handles commonsense causal reasoning.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Posters","is_remote":true,"remote_url":"https://escholarship.org/uc/item/3kh5h9s9","frozenauthors":[{"first_name":"Ron","middle_name":"","last_name":"Sun","name_suffix":"","institution":"Honeywell SSDC","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1992-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/31429/galley/22498/download/"}]}