Published by Taylor & Francis Inc, 1998
ISBN 10: 0805827242 ISBN 13: 9780805827248
Language: English
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Published by Taylor & Francis Group, 1997
ISBN 10: 0805827242 ISBN 13: 9780805827248
Language: English
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Published by Routledge 2016-02-29, 2016
ISBN 10: 113887664X ISBN 13: 9781138876644
Language: English
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Published by Taylor & Francis Ltd, 2019
ISBN 10: 113887664X ISBN 13: 9781138876644
Language: English
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Published by Taylor & Francis Inc, 1997
ISBN 10: 0805827242 ISBN 13: 9780805827248
Language: English
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 328 | Sprache: Englisch | Produktart: Bücher | This volume, which describes the development and experimental testing of a model of how knowledge is acquired (using LISP programming as the domain of interest), will be of value to all cognitive scientists, AI researchers, and cognitive psychologists.
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Taschenbuch. Condition: Neu. Constructive Knowledge Acquisition | A Computational Model and Experimental Evaluation | Franz Schmalhofer | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | Routledge | EAN 9781138876644 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A cognitive psychology which becomes increasingly specialized requires a special effort in order to avoid a fragmentation into several controversial issues that are independently discussed but also inherently related. Rather than asking additional differentiated questions which are then investigated by more specialized experimental methods and designs, this book promotes unified theories and a levels approach for their experimental evaluation. Within this cognitive science approach and on the basis of the most foundational assumptions of Kintsch's construction integration theory, a computational theory of knowledge acquisition is then developed and subsequently evaluated by psychological experiments.For forty years, computer simulation techniques and experimental psychology research have greatly matured the understanding of human knowledge and its acquisition in different learning environments. This volume critically assesses the advantages and limitations of these approaches and then develops an integrated research methodology. It goes on to provide significant progress concerning the following questions:\* What are the most promising research methodologies for investigating human cognition \* How can the experimental psychology research on text comprehension, concept formation, and memory become more closely related to one another when the very specialized research paradigms and the highly specific scientific controversies promote their separation and independent discussion \* How can a general comprehension-based theory bridge the gap between simple experimental settings and the real-life situations that occur in education and work environments This book demonstrates how experimental psychology can proceed more successfully by investigating those aspects that are shared among different areas of research like text comprehension, categorization, and learning by exploration. It also shows how unified theories can assist in applying experimental psychology and cognitive science results to areas such as intelligent tutoring systems, instructional design, and the development of expert systems in complex real world domains.
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Buch. Condition: Neu. Constructive Knowledge Acquisition | A Computational Model and Experimental Evaluation | Franz Schmalhofer | Buch | Einband - fest (Hardcover) | Englisch | 1997 | Routledge | EAN 9780805827248 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This volume, which describes the development and experimental testing of a model of how knowledge is acquired (using LISP programming as the domain of interest), will be of value to all cognitive scientists, AI researchers, and cognitive psychologists.