MTU Cork Library Catalogue

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Knowledge structures / James A. Galambos, Robert P. Abelson, John B. Black, editors.

By: Galambos, James A. (James Andrew), 1951-.
Contributor(s): Abelson, Robert P | Black, John B. (John Benjamin), 1947-.
Material type: materialTypeLabelBookPublisher: Hillsdale, N.J. : L. Erlbaum Associates, 1986Description: xi, 275 p. : ill. ; 24 cm.ISBN: 0898598168.Subject(s): Cognition | Artificial intelligenceDDC classification: 153.4
Contents:
Introduction / Robert P. Abelson and John B. Black -- Part I: Scripts -- Knowledge structures for common activities / James A. Galambos -- A model of knowledge-based expectations text comprehension / Noel E. Sharkey -- The encoding and retrieval of memories of real-world experiences / Brian J. Reiser -- Part II: Goals and plans -- The nature of explanations / John Leddo and Robert P. Abelson -- Goal-related inferences in comprehension / Valerie Abbott and John B. Black -- Part III: Other knowledge structures -- Conceptual structure, question-answering processes and the effects of misleading questions / Scott P. Robertson -- The role of thematic knowledge structures in reminding / Colleen M. Seifert, Robert P. Abelson and Gail McKoon -- Explanation-driven processing in summarization: the interaction of content and process / Dana S. Kay and John B. Black -- Creation and comprehension of arguments / Stuart McGuigan and John B. Black.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 153.4 (Browse shelf(Opens below)) 1 Available 00021360
Total holds: 0

Enhanced descriptions from Syndetics:

First Published in 1986. Routledge is an imprint of Taylor & Francis, an informa company.

Includes bibliographical references (pages 253-266) and indexes.

Introduction / Robert P. Abelson and John B. Black -- Part I: Scripts -- Knowledge structures for common activities / James A. Galambos -- A model of knowledge-based expectations text comprehension / Noel E. Sharkey -- The encoding and retrieval of memories of real-world experiences / Brian J. Reiser -- Part II: Goals and plans -- The nature of explanations / John Leddo and Robert P. Abelson -- Goal-related inferences in comprehension / Valerie Abbott and John B. Black -- Part III: Other knowledge structures -- Conceptual structure, question-answering processes and the effects of misleading questions / Scott P. Robertson -- The role of thematic knowledge structures in reminding / Colleen M. Seifert, Robert P. Abelson and Gail McKoon -- Explanation-driven processing in summarization: the interaction of content and process / Dana S. Kay and John B. Black -- Creation and comprehension of arguments / Stuart McGuigan and John B. Black.

Table of contents provided by Syndetics

  • Preface (p. ix)
  • 1 Introduction (p. 1)
  • I Scripts (p. 19)
  • 2 Knowledge Structures For Common Activities (p. 21)
  • 3 A Model of Knowledge-Based Expectations In Text Comprehension (p. 49)
  • 4 The Encoding and Retrieval Of Memories Of Real-World Experiences (p. 71)
  • II Goals and Plans (p. 101)
  • 6 Goal-Related Inferences In Comprehension (p. 123)
  • III Other Knowledge Structures (p. 143)
  • 7 Conceptual Structure Question-Answering Processes And the Effects Of Misleading Questions (p. 145)
  • 8 The Role of Thematic Knowledge Structures In Reminding (p. 185)
  • 9 Explanation-Driven Processing in Summarization The Interaction Of Content and Process (p. 211)
  • 10 Creation and Comprehension Of Arguments (p. 237)
  • References (p. 253)
  • Author Index (p. 267)
  • Subject Index (p. 273)

Reviews provided by Syndetics

CHOICE Review

Upper-level students in computer science and cognitive science will find this survey of research on computer-based models of human cognition quite interesting. Because the book is a description of work conducted at Yale University, its scope is rather limited. However, several of the contributors have published significant research in the field, and the book as a whole gives a good overview of how one goes about such modeling. Most of the chapters concern language processing; the others contain more general content. Previously unpublished research augments discussion of theoretical issues, making this useful for those seriously interested in the topics. However, it is unlikely to be popular among those readers with only passing interest in artificial intelligence.-M. Marschark, University of North Carolina at Greensboro

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