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An overview of automated reasoning and related fields
Authors:L. Wos  Fernando Pereira  Robert Hong  Robert S. Boyer  J Strother Moore  W. W. Bledsoe  L. J. Henschen  Bruce G. Buchanan  Graham Wrightson  Cordell Green
Affiliation:(1) Mathematics and Computer Science Division, Argonne National Laboratory, 60439 Argonne, IL, USA;(2) Artificial Intelligence Center, SRI International, 94025 Menlo Park, CA, USA;(3) Crumman Aerospace Corporation, 11714 Bethpage, NY, USA;(4) Computer Science Department, University of Texas, 78712 Austin, TX, USA;(5) Department of Mathematics, University of Texas, 78712 Austin, TX, USA;(6) Department of Electrical Engineering and Computer Science, Northwestern University, 60201 Evanston, IL, USA;(7) Computer Science Department, Stanford University, 94305 Stanford, CA, USA;(8) Department of Computer Science, Victoria University, Wellington, New Zealand;(9) Kestrel Institute, 94304 Palo Alto, CA, USA
Abstract:This article provides an overview of automated reasoning and of the various fields for which it is relevant. It takes the form of a collection of articles, each covering some field and each written by an expert in that field. A field is introduced, its elements reviewed, the current state of the art given, the basic problems discussed, and the various goals listed. Although individually the goals of each field present a wide spectrum, collectively the fields share the interest of automating the process known as reasoning.
Keywords:AI  automated: reasoning/programming/theorem proving  computational logic  error correction  induction, inference rules  intelligent robot  knowledge representation  knowledge-based software  logic programming  multisensor integration and fusion  object-oriented reasoning  predicate calculus, program: synthesis/verification  robotics, strategy  verification, very high level languages
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