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035   $a(DE-He213)978-3-540-47193-6
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100   $a20121227d1992      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 12$aA Perspective of Constraint-Based Reasoning$b[electronic resource] $eAn Introductory Tutorial /$fby Hans W. Guesgen, Joachim Hertzberg
205   $a1st ed. 1992.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1992.
215   $a1 online resource (IX, 127 p.) 
225 1 $aLecture Notes in Artificial Intelligence ;$v597
311   $a3-540-55510-2 
327   $aThe office world -- Constraint concepts -- Constraint relaxation -- Backtracking approaches -- From simple filtering to tagging -- Appoaches to filtering in parallel -- Optimization approaches -- Instead of a conclusion.
330   $aMuch of AI research is about problem-solving strategies, and several techniques have been crystalized. One such technique is constraint satisfaction or reasoning based on relations. Constraint-based reasoning is used to solve a wide field of problems, and recently constraint techniques have been incorporated into logic programming languages, yielding a whole new field of research and application: constraint logic programming. Constraint satisfaction techniques have become part of almost all introductory books on AI. This monograph is about constraint satisfaction. It differs from others in that it presents all approaches under a common, generalizing view: dynamic constraints. This new way of viewing constraints provides new insights about the different approaches, and forms a very practical basis for teaching constraint-based reasoning. A uniform view of the constraint world is also a good basis for constraint research. This text is not intended to be a self-contained textbook on constraint-based reasoning, but rather a coherent text on an interesting view of the field.
410  0$aLecture Notes in Artificial Intelligence ;$v597
606   $aArtificial intelligence
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aArtificial intelligence.
615 14$aArtificial Intelligence.
676   $a006.3
700   $aGuesgen$b Hans W$4aut$4http://id.loc.gov/vocabulary/relators/aut$01220960
702   $aHertzberg$b Joachim$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a996465735203316
996   $aA Perspective of Constraint-Based Reasoning$92830571
997   $aUNISA