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Autor(en): 
  • Christian Schulte
  • Programming Constraint Services: High-Level Programming of Standard and New Constraint Services 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  März 2002  
    Genre:  EDV / Informatik 
     
    AIplanning / algorithmanalysisandproblemcomplexity / Algorithmen und Datenstrukturen / Algorithmus / combinatorialoptimization / Compiler und Übersetzer / Computerhardware / Constraint-BasedModeling
    ISBN:  9783540433712 
    EAN-Code: 
    9783540433712 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Lecture Notes in Artificial Intelligence
    #2302 - Lecture Notes in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D 11 mm 
    Gewicht:  295 gr 
    Seiten:  188 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Constraint Programming is an approach for modeling and solving combi- torial problems that has proven successful in many applications. It builds on techniques developed in Arti?cial Intelligence, Logic Programming, and - erations Research. Key techniques are constraint propagation and heuristic search. Constraint Programming is based on an abstraction that decomposes a problem solver into a reusable constraint engine and a declarative program modeling the problem. The constraint engine implements the required pr- agation and search algorithms. It can be realized as a library for a general purpose programming language (e.g. C++), as an extension of an existing language (e.g. Prolog), or as a system with its own dedicated language. The present book is concerned with the architecture and implementation of constraint engines. It presents a new, concurrent architecture that is far superior to the sequential architecture underlying Prolog. The new archit- ture is based on concurrent search with copying and recomputation rather than sequential search with trailing and backtracking. One advantage of the concurrent approach is that it accommodates any search strategy. Furth- more, it considerably simpli?es the implementation of constraint propagation algorithms since it eliminates the need to account for trailing and backtra- ing. The book investigates an expressive generalization of the concurrent - chitecture that accommodates propagation-preserving combinators (known as deep guard combinators) for negation, disjunction, implication, and re- cation of constraint propagators. Such combinators are beyond the scope of Prolog¿s technology. In the concurrent approach they can be obtained with a re?ective encapsulation primitive.

      



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