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Sinossi
Modern research in neural networks has led to powerful artificial learning systems, while recent work in the psychology of human memory has revealed much about how natural systems learn, including the role of unconscious, implicit, memory processes. Regrettably, the two approaches typically ignore each other. This book, combining the approaches, should contribute to their mutual benefit. Current empirical work showing dissociations between implicit and explicit memory performance is presented. Recently proposed explanations for such data lead to a new connectionist learning procedure: CALM (Categorizing and Learning Module), which can learn with or without supervision, and shows practical advantages over many existing procedures. Specific experiments are simulated by a network model (ELAN) composed of CALM modules. A working memory extension to the model is also discussed. The book should be of interest to memory psychologists and connectionists, as well as to cognitive scientists who in the past have tended to restrict themselves to symbolic models.
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Contenuti
Preface. Part 1: Introduction. 1.1. The importance of learning. 1.2. The biological role of learning. 1.3. Connectionist models as learning systems. 1.4. Models and languages. 1.5. Aligning connectionist learning with natural learning. Part 2: A connectionist approach to learning. 2.1. The connectionist language. 2.2. Problems with connectionist models. 2.3. CALM: Categorizing and Learning Module. 2.4. Single module simulations. 2.5. Multiple module simulations. 2.6. Discussion. Part 3: Psychological constraints on learning. 3.1. Attention and memory storage. 3.2. Elaborative shifts during rehearsal. 3.3. Attention and study-test compatibility as dissociative factors. 3.4. Divided attention and implicit and explicit memory tasks. 3.5. Towards a memory model incorporating attentional effects. Part 4: A connectionist model for implicit and explicit memory. 4.1. ELAN: a family of models. 4.2. Architecture of ELAS-1. 4.3. Simulations with ELAN-1. 4.4. Higher ELAN models. Part 5: Evaluation. 5.1. Comparison to other models. 5.2. The connectionism vs. symbol-manipulation controversy. 5.3. Conclusion. References. Appendix. Index.
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Learning in natural and connectionist systems experiments and a model.
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Dordrecht, Kluwer [1994]., 1994
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Hardcover. Condizione: Gut. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C 752 9780792326854 Sprache: Englisch Gewicht in Gramm: 550. Codice articolo 2502874
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 316 | Sprache: Englisch | Produktart: Bücher | Modern research in neural networks has led to powerful artificial learning systems, while recent work in the psychology of human memory has revealed much about how natural systems really learn, including the role of unconscious, implicit, memory processes. Regrettably, the two approaches typically ignore each other. This book, combining the approaches, should contribute to their mutual benefit. New empirical work is presented showing dissociations between implicit and explicit memory performance. Recently proposed explanations for such data lead to a new connectionist learning procedure: CALM (Categorizing and Learning Module), which can learn with or without supervision, and shows practical advantages over many existing procedures. Specific experiments are simulated by a network model (ELAN) composed of CALM modules. A working memory extension to the model is also discussed that could give it symbol manipulation abilities. The book will be of interest to memory psychologists and connectionists, as well as to cognitive scientists who in the past have tended to restrict themselves to symbolic models. Codice articolo 3029542/202
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Modern research in neural networks has led to powerful artificial learning systems, while recent work in the psychology of human memory has revealed much about how natural systems really learn, including the role of unconscious, implicit, memor. Codice articolo 5967021
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Buch. Condizione: Neu. Learning in Natural and Connectionist Systems | Experiments and a Model | R. H. Phaf | Buch | Einband - fest (Hardcover) | Englisch | 1994 | Springer Netherland | EAN 9780792326854 | Verantwortliche Person für die EU: Springer Netherlands, Haberstr. 7, 69126 Heidelberg, buchhandel-buch[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 101959648
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Learning in Natural and Connectionist Systems
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Modern research in neural networks has led to powerful artificial learning systems, while recent work in the psychology of human memory has revealed much about how natural systems really learn, including the role of unconscious, implicit, memory processes. Regrettably, the two approaches typically ignore each other. This book, combining the approaches, should contribute to their mutual benefit.New empirical work is presented showing dissociations between implicit and explicit memory performance. Recently proposed explanations for such data lead to a new connectionist learning procedure: CALM (Categorizing and Learning Module), which can learn with or without supervision, and shows practical advantages over many existing procedures. Specific experiments are simulated by a network model (ELAN) composed of CALM modules. A working memory extension to the model is also discussed that could give it symbol manipulation abilities.The book will be of interest to memory psychologists and connectionists, as well as to cognitive scientists who in the past have tended to restrict themselves to symbolic models.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 316 pp. Englisch. Codice articolo 9780792326854
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modern research in neural networks has led to powerful artificial learning systems, while recent work in the psychology of human memory has revealed much about how natural systems really learn, including the role of unconscious, implicit, memory processes. Regrettably, the two approaches typically ignore each other. This book, combining the approaches, should contribute to their mutual benefit. New empirical work is presented showing dissociations between implicit and explicit memory performance. Recently proposed explanations for such data lead to a new connectionist learning procedure: CALM (Categorizing and Learning Module), which can learn with or without supervision, and shows practical advantages over many existing procedures. Specific experiments are simulated by a network model (ELAN) composed of CALM modules. A working memory extension to the model is also discussed that could give it symbol manipulation abilities. The book will be of interest to memory psychologists and connectionists, as well as to cognitive scientists who in the past have tended to restrict themselves to symbolic models. 316 pp. Englisch. Codice articolo 9780792326854
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