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Experience, Memory, and Reasoning de Janet L. Kolodner

Experience, Memory, and Reasoning: Artificial Intelligence Series

Editat de Janet L. Kolodner, Christopher K. Riesbeck
en Limba Engleză Hardback – iun 1986
First published in 1986. The chapters in this collection are based on presentations made at the First Annual Workshop on Theoretical Issues in Conceptual Information Processing (TICIP) grew out of that. It was held in Atlanta, Georgia in March 1984 and included 50 people with roughly the same world view. In particular, the contributors were interested in content-based theories of conceptual information processing. Each chapter addresses some issue associated with the relationships between memory, experience and reasoning.
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Specificații

ISBN-13: 9780898596441
ISBN-10: 0898596440
Pagini: 272
Ilustrații: illustrations
Dimensiuni: 152 x 229 x 16 mm
Greutate: 0.54 kg
Ediția:1
Editura: Taylor & Francis
Colecția Psychology Press
Seria Artificial Intelligence Series

Locul publicării:Oxford, United Kingdom

Public țintă

Professional

Recenzii

"I would recommend this book as a source of provocative ideas by intelligent observers....This book rises above most....an ambitious and significant venture."
—Contemporary Psychology

Cuprins

Chapter 1 Introduction; Part I Knowledge Organization and Representation; Chapter 2 Knowledge Representation—A Critique and A Proposal, RobertWilensky; Chapter 3 Learning and Memory in Machines and Animals: An AI Model that Accounts for Some Neurobiological Data, Richard H.Granger, Dale M.McNulty; Chapter 4 Functional Representation of Devices and Compilation of Diagnostic Problem-Solving Systems, V.Sembugamoorthy, B.Chandrasekaran; Chapter 5 Knowledge-Directed Retrieval of Autobiographical Memories, Brian J.Reiser; Part II Memory-Based Hypothesis Formation; Chapter 6 Problem Solving and Dynamic Memory, Janet L.Kolodner; Chapter 7 Learning How to Argue: Using Hypotheticals, Edwina L.Rissland; Chapter 8 Assignment of Responsibility in Ethical Judgments, William M.Bain; Chapter 9 Explanation: A First Pass, Roger C.Schank; Chapter 10 Acquisition of Device Models in Instructionless Learning, JeffShrager; Part III Memory-Based Natural Language Understanding; Chapter 11 Using Memory in Text Understanding, MichaelLebowitz; Chapter 12 A More General Approach to Word Disambiguation, Steven L.Lytinen; Chapter 13 Direct Memory Access Parsing, Christopher K.Riesbeck, Charles E.Martin; Chapter 14 Parsing with Parallelism: A Spreading-Activation Model of Inference Processing During Text Understanding, Richard H.Granger, Kurt P.Eiselt, Jennifer K.Holbrook;

Notă biografică

Janet L. Kolodner, Georgia Institute of Technology. Christopher K. Riesbeck, Yale University.