Experience, Memory, and Reasoning (eBook, ePUB)

Redaktion: Kolodner, Janet L.; Riesbeck, Christopher K.

• Format: ePub

Produktbeschreibung

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

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 272
• Erscheinungstermin: 5. März 2014
• Englisch
• ISBN-13: 9781317767718
• Artikelnr.: 40824921

Autorenporträt

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

Inhaltsangabe

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;