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Volumn 13, Issue 3, 2000, Pages 231-245

Dynamic Flexible Constraint Satisfaction

Author keywords

Constraint satisfaction; Dynamic CSP; Flexible local changes; Prioritised preference based constraints

Indexed keywords


EID: 0004872609     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1026563910104     Document Type: Article
Times cited : (17)

References (30)
  • 1
    • 0000959937 scopus 로고
    • Constraint satisfaction problems
    • John Wiley and Sons: New York
    • A. Mackworth, "Constraint satisfaction problems," in Encyclopedia of Artificial Intelligence, John Wiley and Sons: New York, pp. 285-293, 1992.
    • (1992) Encyclopedia of Artificial Intelligence , pp. 285-293
    • Mackworth, A.1
  • 2
    • 0042886683 scopus 로고    scopus 로고
    • Solution techniques for constraint satisfaction problems (Part 1: Foundations, Part 2: Advanced approaches)
    • in press
    • I. Miguel and Q. Shen, "Solution techniques for constraint satisfaction problems (Part 1: Foundations, Part 2: Advanced approaches)," Artificial Intelligence Review, in press.
    • Artificial Intelligence Review
    • Miguel, I.1    Shen, Q.2
  • 4
    • 0002680001 scopus 로고
    • Understanding line drawings of scenes with shadows
    • edited by P.H. Winston, McGraw-Hill: NewYork
    • D. Waltz, "Understanding line drawings of scenes with shadows," in The Psychology of Computer Vision, edited by P.H. Winston, McGraw-Hill: NewYork, pp. 19-91, 1975.
    • (1975) The Psychology of Computer Vision , pp. 19-91
    • Waltz, D.1
  • 5
    • 0031074857 scopus 로고    scopus 로고
    • Fast planning through planning graph analysis
    • A. Blum and M. Furst, "Fast planning through planning graph analysis," Artificial Intelligence, vol. 90, pp. 281-300, 1997.
    • (1997) Artificial Intelligence , vol.90 , pp. 281-300
    • Blum, A.1    Furst, M.2
  • 7
    • 0022680851 scopus 로고
    • An assumption-based tms
    • J. de Kleer, "An assumption-based tms," Artificial Intelligence, vol. 28, pp. 127-162, 1986.
    • (1986) Artificial Intelligence , vol.28 , pp. 127-162
    • De Kleer, J.1
  • 9
    • 0033097363 scopus 로고    scopus 로고
    • A constraint-based approach to assigning system components to tasks
    • E.H. Turner and R.M. Turner, "A constraint-based approach to assigning system components to tasks," Applied Intelligence, vol. 10, no. 2, pp. 155-172, 1999.
    • (1999) Applied Intelligence , vol.10 , Issue.2 , pp. 155-172
    • Turner, E.H.1    Turner, R.M.2
  • 13
    • 0030263061 scopus 로고    scopus 로고
    • Possibility theory in constraint satisfaction problems: Handling priority, preference and uncertainty
    • D. Dubois, H. Fargier, and H. Prade, "Possibility theory in constraint satisfaction problems: Handling priority, preference and uncertainty," Applied Intelligence, vol. 6, no. 4, pp. 287-309, 1996.
    • (1996) Applied Intelligence , vol.6 , Issue.4 , pp. 287-309
    • Dubois, D.1    Fargier, H.2    Prade, H.3
  • 15
    • 0042143860 scopus 로고    scopus 로고
    • Stable solutions for dynamic constraint satisfaction problems
    • edited by M. Maher and J.-F. Puget, Springer: Berlin
    • R.J. Wallace and E.C. Freuder, "Stable solutions for dynamic constraint satisfaction problems," in Principles and Practice of Constraint Programming - CP98, edited by M. Maher and J.-F. Puget, Springer: Berlin, 1998.
    • (1998) Principles and Practice of Constraint Programming - CP98
    • Wallace, R.J.1    Freuder, E.C.2
  • 18
    • 0001938067 scopus 로고
    • Optimization in constraint networks
    • edited by R.M. Oliver and J. Q. Smith, John Wiley and Sons: NewYork
    • R. Dechter, A. Dechter, and J. Pearl, "Optimization in constraint networks," in Influence Diagrams, Belief Nets and Decision Analysis, edited by R.M. Oliver and J. Q. Smith, John Wiley and Sons: NewYork, pp. 411-425, 1990.
    • (1990) Influence Diagrams, Belief Nets and Decision Analysis , pp. 411-425
    • Dechter, R.1    Dechter, A.2    Pearl, J.3
  • 21
    • 44049112032 scopus 로고
    • Minimizing conflicts: A heuristic repair method for constraint satisfaction and scheduling problems
    • S. Minton, M.D. Johnston, A.B. Philips, and P. Laird, "Minimizing conflicts: A heuristic repair method for constraint satisfaction and scheduling problems," Artificial Intelligence, vol. 58, pp. 161-205, 1992.
    • (1992) Artificial Intelligence , vol.58 , pp. 161-205
    • Minton, S.1    Johnston, M.D.2    Philips, A.B.3    Laird, P.4
  • 23
    • 0000031156 scopus 로고
    • Nogood recording for static and dynamic constraint satisfaction problems
    • T. Schiex and G. Verfaillie, "Nogood recording for static and dynamic constraint satisfaction problems," International Journal of Artificial Intelligence Tools, vol. 3, no. 2, pp. 187-207, 1994.
    • (1994) International Journal of Artificial Intelligence Tools , vol.3 , Issue.2 , pp. 187-207
    • Schiex, T.1    Verfaillie, G.2
  • 25
    • 0019067870 scopus 로고
    • Increasing tree search efficiency for constraint satisfaction problems
    • R.M. Haralick and G.L. Elliot, "Increasing tree search efficiency for constraint satisfaction problems," Artificial Intelligence, vol. 14, pp. 263-313, 1980.
    • (1980) Artificial Intelligence , vol.14 , pp. 263-313
    • Haralick, R.M.1    Elliot, G.L.2
  • 27
    • 0032633177 scopus 로고    scopus 로고
    • Recent advances in ai planning
    • D.S. Weld, "Recent advances in ai planning," AI Magazine, vol, 20, no. 2, pp. 93-123, 1999.
    • (1999) AI Magazine , vol.20 , Issue.2 , pp. 93-123
    • Weld, D.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.