Experience, memory, and reasoning
著者
書誌事項
Experience, memory, and reasoning
(The Artificial intelligence series)
L. Erlbaum Associates, 1986
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注記
Includes bibliographical references and indexes
内容説明・目次
内容説明
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.
目次
- 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
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