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{ "pk": 30627, "title": "A Model of Schema Selection Using Marker Passing and Connectionist Spreading Activation", "subtitle": null, "abstract": "Schema selection involves determining which pre-stored schema best matches the current input.Traditional serial approaches utilize a match/predict cycle which is heavily dependent upon backtracking.This paper presents a parallel interactive model of schema selection called SAMPAN which is more flexible and adaptive. SAMPAN is a hybrid system that combines marker passing with connectionist spreading activation to provide a highly malleable and general representation for schema selection. This work is motivated by recent success in connectionist schema representations and in natural language marker passing systems. A connectionist schema representation provides many attractive features over traditional schema representations. However, a pure connectionist representation lacks generality; new propositions cannot easily be represented. SAMPAN gets around this problem by using marker passing to perform variable binding on generalized concepts. The S A M P A N system is a constraint satisfaction network with nodes that perform simple pattern matching and input summation. This approach is directly applicable to current schema-based systems.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Artificial Intelligence and Simulation II", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/7qs8c349", "frozenauthors": [ { "first_name": "Hon", "middle_name": "Wai", "last_name": "Chun", "name_suffix": "", "institution": "Honeywell Bull", "department": "" }, { "first_name": "Alejandro", "middle_name": "", "last_name": "Mimo", "name_suffix": "", "institution": "Gold Hill Computers", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "1987-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/30627/galley/20476/download/" } ] }