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Titlebook: 9th International Conference on Automated Deduction; Argonne, Illinois, U Ewing Lusk,Ross Overbeek Conference proceedings 1988 Springer-Ver

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期刊全称9th International Conference on Automated Deduction
期刊简称Argonne, Illinois, U
影响因子2023Ewing Lusk,Ross Overbeek
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: 9th International Conference on Automated Deduction; Argonne, Illinois, U Ewing Lusk,Ross Overbeek Conference proceedings 1988 Springer-Ver
影响因子This volume contains the papers presented at the Ninth International Conference on Automated Deduction (CADE-9) held May 23-26 at Argonne National Laboratory, Argonne, Illinois. The conference commemorates the twenty-fifth anniversary of the discovery of the resolution principle, which took place during the summer of 1963. The CADE conferences are a forum for reporting on research on all aspects of automated deduction, including theorem proving, logic programming, unification, deductive databases, term rewriting, ATP for non-standard logics, and program verification. All papers submitted to the conference were refereed by at least two referees, and the program committee accepted the 52 that appear here. Also included in this volume are abstracts of 21 implementations of automated deduction systems.
Pindex Conference proceedings 1988
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Mohssen Alabbadi,Stephen B. Wicker forced us to omit many of the details of our work. These are included in a longer version of this paper which is available from: The Documentation Secretary, Department of Artificial Intelligence, University of Edinburgh, Forrest Hill, Edinburgh EH1 2QL, Scotland.
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Conference proceedings 1988oratory, Argonne, Illinois. The conference commemorates the twenty-fifth anniversary of the discovery of the resolution principle, which took place during the summer of 1963. The CADE conferences are a forum for reporting on research on all aspects of automated deduction, including theorem proving,
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Pierre-Alain Fouque,Jacques Sternay we show how the bulk of the problem solving, generalisation and application tasks of a (learning) problem solving system can be performed by the one algorithm. This work generalises ad hoc techniques developed in the field of Explanation Based Learning and presents the results in a formal setting
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