Artificial intelligence at MIT : expanding frontiers
著者
書誌事項
Artificial intelligence at MIT : expanding frontiers
（The MIT Press series in artificial intelligence）
MIT Press, c1990
- v. 1
- v. 1 : pb.
- v. 2
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注記
Bibliography: v. 1, p. 613-636; v. 2, p. 575-611
Includes index
内容説明・目次
- 巻冊次
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v. 1 ISBN 9780262231503
内容説明
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.
- 巻冊次
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v. 2 ISBN 9780262231510
内容説明
This collection of over 40 milestone contributions presents the latest state-of-the art research emerging from one of the worlds foremost centers for Artificial Intelligence. The topics range from immediately applicable, demonstrated advances to theoretical proposals. They include robotics, vision, natural language, learning and commonsense problem solving, model-based reasoning systems, engineering problem solving, programmer's apprentice, mixed symbolic and numerical computation, ultraconcurrent systems, and basic theory. Each new area is introduced and linked together with an overview by Patrick WinstonThe contributors are: Harold Abelson, Gul Agha, Chae H. An, Christopher G. Atkeson, David J. Bennett, Robert C. Berwick, David Brock, Rodney A. Brooks, William J. Dally, Randall Davis, Bonnie J. Dorr, Brian Eberman, Michael Eisenberg, Sandiway Fong, W. Eric L. Grimson, Matthew Halfont, Walter C. Hamscher, Carl Hewitt, Jessica Hodgins, John M. Hollerbach, Berthold K. P. Horn, Joseph L. Jones, Boris Katz, Jacob Katzenelson, Christof Koch, Tomas Lozano-Perez, Michael Levin, Matthew T. Mason, Emmanuel Mazer, David A. McAllester, Marvin Minsky, Patrick A. O'Donnell, Tomaso Poggio, Marc H. Raibert, Sajit Rao, David J. Reinkensmeyer, Charles Rich, Elisha Sacks, Kenneth Salisbury, Warren P. Seering, Neil C. Singer, Gerald J. Sussman, Russell H. Taylor, Vincent Torre, William Townsend, Shimon Ullman, Karl T. Ulrich, Richard C. Waters, E. J. Weldon Jr., Brian Williams, Linda Wills, Patrick H. Winston, Jack Wisdom, and Kenneth Yip.
- 巻冊次
-
v. 1 : pb. ISBN 9780262526401
内容説明
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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