Risto Miikkulainen draws on recent connectionist work in language comprehension to create a model that can understand natural language. Using the DISCERN system as an example, he describes a general approach to building high-level cognitive models from distributed neural networks and shows how the special properties of such networks are useful in modeling human performance. In this approach connectionist networks are not only plausible models of isolated cognitive phenomena, but also sufficient constituents for complete artificial intelligence systems. Distributed neural networks have been very successful in modeling isolated cognitive phenomena, but complex high-level behavior has been tractable only with symbolic artificial intelligence techniques. Aiming to bridge this gap, Miikkulainen describes DISCERN, a complete natural language processing system implemented entirely at the subsymbolic level. In DISCERN, distributed neural network models of parsing, generating, reasoning, lexical processing, and episodic memory are integrated into a single system that learns to read, paraphrase, and answer questions about stereotypical narratives. Miikkulainen's work, which includes a comprehensive survey of the connectionist literature related to natural language processing, will prove especially valuable to researchers interested in practical techniques for high-level representation, inferencing, memory modeling, and modular connectionist architectures.
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Book by Miikkulainen Risto
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Da: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germania
gebundene Ausgabe. Condizione: Gut. 391 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 780. Codice articolo 2151881
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Da: G3 Books, Winnipeg, MB, Canada
Hardcover. Condizione: Very Good. 391 Pages. Unread and Unmarked. n. Codice articolo 003453
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Da: Kloof Booksellers & Scientia Verlag, Amsterdam, Paesi Bassi
Condizione: as new. Cambridge, MA: The MIT Press, 1993. Hardcover. Dustjacket. 403 pp.- Risto Miikkulainen draws on recent connectionist work in language comprehension to create a model that can understand natural language. Using the DISCERN system as an example, he describes a general approach to building high-level cognitive models from distributed neural networks and shows how the special properties of such networks are useful in modeling human performance. In this approach connectionist networks are not only plausible models of isolated cognitive phenomena, but also sufficient constituents for complete artificial intelligence systems.Distributed neural networks have been very successful in modeling isolated cognitive phenomena, but complex high-level behavior has been tractable only with symbolic artificial intelligence techniques. Aiming to bridge this gap, Miikkulainen describes DISCERN, a complete natural language processing system implemented entirely at the subsymbolic level. In DISCERN, distributed neural network models of parsing, generating, reasoning, lexical processing, and episodic memory are integrated into a single system that learns to read, paraphrase, and answer questions about stereotypical narratives.Miikkulainen's work, which includes a comprehensive survey of the connectionist literature related to natural language processing, will prove especially valuable to researchers interested in practical techniques for high-level representation, inferencing, memory modeling, and modular connectionist architectures. English text. Condition : as new. Condition : as new copy. ISBN 9780262132909. Keywords : , Neural networks. Codice articolo 262870
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Hardcover. Condizione: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Codice articolo 0262132907-8-1
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