Constraint-based reasoning / (Record no. 73121)

000 -LEADER
fixed length control field 03991nam a2200541 i 4500
001 - CONTROL NUMBER
control field 6267467
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712204714.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151228s1994 maua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780262288446
-- electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print
082 00 - CLASSIFICATION NUMBER
Call Number 006.3
245 00 - TITLE STATEMENT
Title Constraint-based reasoning /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (403 pages) :
490 1# - SERIES STATEMENT
Series statement Special issues of <i>artificial intelligence</i>
500 ## - GENERAL NOTE
Remark 1 "A Bradford book."
500 ## - GENERAL NOTE
Remark 1 Reprinted from Artificial intelligence, volume 58, numbers 1-3, 1992.
520 ## - SUMMARY, ETC.
Summary, etc Constraint-based reasoning is an important area of automated reasoning in artificial intelligence, with many applications. These include configuration and design problems, planning and scheduling, temporal and spatial reasoning, defeasible and causal reasoning, machine vision and language understanding, qualitative and diagnostic reasoning, and expert systems. Constraint-Based Reasoning presents current work in the field at several levels: theory, algorithms, languages, applications, and hardware.Constraint-based reasoning has connections to a wide variety of fields, including formal logic, graph theory, relational databases, combinatorial algorithms, operations research, neural networks, truth maintenance, and logic programming. The ideal of describing a problem domain in natural, declarative terms and then letting general deductive mechanisms synthesize individual solutions has to some extent been realized, and even embodied, in programming languages.Contents :- Introduction, E. C. Freuder, A. K. Mackworth.- The Logic of Constraint Satisfaction, A. K. Mackworth.- Partial Constraint Satisfaction, E. C. Freuder, R. J. Wallace.- Constraint Reasoning Based on Interval Arithmetic: The Tolerance Propagation Approach, E. Hyvonen.- Constraint Satisfaction Using Constraint Logic Programming, P. Van Hentenryck, H. Simonis, M. Dincbas.- Minimizing Conflicts: A Heuristic Repair Method for Constraint Satisfaction and Scheduling Problems, S. Minton, M. D. Johnston, A. B. Philips, and P. Laird.- Arc Consistency: Parallelism and Domain Dependence, P. R. Cooper, M. J. Swain.- Structure Identification in Relational Data, R. Dechter, J. Pearl.- Learning to Improve Constraint-Based Scheduling, M. Zweben, E. Davis, B. Daun, E. Drascher, M. Deale, M. Eskey.- Reasoning about Qualitative Temporal Information, P. van Beek.- A Geometric Constraint Engine, G. A. Kramer.- A Theory of Conflict Resolution in Planning, Q. Yang.A Bradford Book.
700 1# - AUTHOR 2
Author 2 Freuder, Eugene C.
700 1# - AUTHOR 2
Author 2 Mackworth, Alan K.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267467
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge, Massachusetts :
-- MIT Press,
-- 1994.
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [1994]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- Description based on PDF viewed 12/28/2015.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Constraints (Artificial intelligence)
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Reasoning.

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