• DocumentCode
    2836901
  • Title

    Constraint Hierarchies as Semiring-Based CSPs

  • Author

    Hosobe, Hiroshi

  • Author_Institution
    Nat. Inst. of Inf., Tokyo, Japan
  • fYear
    2009
  • fDate
    2-4 Nov. 2009
  • Firstpage
    176
  • Lastpage
    183
  • Abstract
    Constraints provide an effective means for the high-level modeling and reasoning of various problems. In particular, soft constraints are useful since they treat over-constrained problems that naturally arise in real-life applications. Therefore, researchers have been exploring frameworks for soft constraints. The framework of semiring-based constraint satisfaction problems (CSPs) can express many kinds of soft constraints such as weighted CSPs and fuzzy CSPs. The framework of constraint hierarchies emphasizes hierarchical preferences of soft constraints. Although semiring-based CSPs are known to be considerably general, it has been unclear whether they can express constraint hierarchies. In this paper, we show that a reasonable class of constraint hierarchies can be regarded as an instance of semiring-based CSPs.
  • Keywords
    constraint handling; constraint hierarchy; constraint satisfaction problems; high-level modeling; semiring-based CSP; soft constraints; Artificial intelligence; Constraint theory; Costs; Encoding; Informatics; User interfaces; constraint hierarchies; constraints; semiring-based constraint satisfaction problems; soft constraints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2009. ICTAI '09. 21st International Conference on
  • Conference_Location
    Newark, NJ
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4244-5619-2
  • Electronic_ISBN
    1082-3409
  • Type

    conf

  • DOI
    10.1109/ICTAI.2009.43
  • Filename
    5364490