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Artificial intelligence : an MIT perspective / edited by Patrick Henry Winston and Richard Henry Brown.

Contributor(s): Brown, Richard Henry | Winston, Patrick Henry | IEEE Xplore (Online Service) [distributor.] | MIT Press [publisher.].
Material type: materialTypeLabelBookSeries: The MIT Press series in artificial intelligence: Publisher: Cambridge, Massachusetts : MIT Press, c1979Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [1982]Description: 1 PDF (2 v.) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 0262230968; 9780262257213.Subject(s): Artificial intelligenceGenre/Form: Electronic books.Additional physical formats: Print version: No titleDDC classification: 001.53/5 Online resources: Abstract with links to resource Also available in print.
Contents:
v. 1. Expert problem solving, natural language understanding, intelligent computer coaches, representation and learning -- v. 2. Understanding vision, manipulation, computer design, symbol manipulation.
Summary: The broad range of material included in these volumes suggests to the newcomer the nature of the field of artificial intelligence, while those with some background in AI will appreciate the detailed coverage of the work being done at MIT. The results presented are related to the underlying methodology. Each chapter is introduced by a short note outlining the scope of the problem begin taken up or placing it in its historical context.Contents, Volume I: Expert Problem Solving: Qualitative and Quantitative Reasoning in Classical Mechanics; Problem Solving About Electrical Circuits; Explicit Control of Reasoning; A Glimpse of Truth Maintenance; Design of a Programmer's Apprentice; Natural Language Understanding and Intelligent Computer Coaches: A Theory of Syntactic Recognition for Natural Language; Disambiguating References and Interpreting Sentence Purpose in Discourse; Using Frames in Scheduling; Developing Support Systems for Information Analysis; Planning and Debugging in Elementary Programming; Representation and Learning: Learning by Creating and Justifying Transfer Frames; Descriptions and the Specialization of Concept; The Society Theory of Thinking; Representing and Using Real-World Knowledge.
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Includes bibliographical references and index.

v. 1. Expert problem solving, natural language understanding, intelligent computer coaches, representation and learning -- v. 2. Understanding vision, manipulation, computer design, symbol manipulation.

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The broad range of material included in these volumes suggests to the newcomer the nature of the field of artificial intelligence, while those with some background in AI will appreciate the detailed coverage of the work being done at MIT. The results presented are related to the underlying methodology. Each chapter is introduced by a short note outlining the scope of the problem begin taken up or placing it in its historical context.Contents, Volume I: Expert Problem Solving: Qualitative and Quantitative Reasoning in Classical Mechanics; Problem Solving About Electrical Circuits; Explicit Control of Reasoning; A Glimpse of Truth Maintenance; Design of a Programmer's Apprentice; Natural Language Understanding and Intelligent Computer Coaches: A Theory of Syntactic Recognition for Natural Language; Disambiguating References and Interpreting Sentence Purpose in Discourse; Using Frames in Scheduling; Developing Support Systems for Information Analysis; Planning and Debugging in Elementary Programming; Representation and Learning: Learning by Creating and Justifying Transfer Frames; Descriptions and the Specialization of Concept; The Society Theory of Thinking; Representing and Using Real-World Knowledge.

Also available in print.

Mode of access: World Wide Web

Description based on PDF viewed 12/23/2015.

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