메뉴 건너뛰기




Volumn 151, Issue 1-2, 2003, Pages 43-89

Efficient solution techniques for disjunctive temporal reasoning problems

Author keywords

Constraint satisfaction; Constraint based temporal reasoning; Planning; Scheduling

Indexed keywords

ALGORITHMS; BENCHMARKING; PLANNING; PROBLEM SOLVING; SCHEDULING; SEMANTICS;

EID: 0242334187     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0004-3702(03)00113-9     Document Type: Article
Times cited : (106)

References (34)
  • 1
    • 84943248441 scopus 로고    scopus 로고
    • SAT-based procedures for temporal reasoning
    • Proc. 5th European Conference on Planning (ECP-99), Durham, Berlin: Springer
    • Armando A., Castellini C., Giunchiglia E. SAT-based procedures for temporal reasoning. Proc. 5th European Conference on Planning (ECP-99), Durham. Lecture Notes in Computer Science. 1809:1999;97-108 Springer, Berlin.
    • (1999) Lecture Notes in Computer Science , vol.1809 , pp. 97-108
    • Armando, A.1    Castellini, C.2    Giunchiglia, E.3
  • 2
    • 14344279688 scopus 로고    scopus 로고
    • Reasoning on interval and point-based disjunctive metric constraints in temporal contexts
    • Barber F. Reasoning on interval and point-based disjunctive metric constraints in temporal contexts. J. Artificial Intelligence Res. 12:2000;35-86.
    • (2000) J. Artificial Intelligence Res. , vol.12 , pp. 35-86
    • Barber, F.1
  • 4
    • 0037553008 scopus 로고    scopus 로고
    • On forward-checking for non-binary constraint satisfaction
    • Alexandria, VA
    • Bessière C., Mesequer P., Larrosa J., Freuder E. On forward-checking for non-binary constraint satisfaction. Proc. CP'99, Alexandria, VA. 1999.
    • (1999) Proc. CP'99
    • Bessière, C.1    Mesequer, P.2    Larrosa, J.3    Freuder, E.4
  • 5
    • 0001059092 scopus 로고    scopus 로고
    • Arc consistency for general constraint networks: Preliminary results
    • Nagoya, Japan
    • Bessière C., Regin J.C. Arc consistency for general constraint networks: Preliminary results. Proc. IJCAI-97, Nagoya, Japan. 1997.
    • (1997) Proc. IJCAI-97
    • Bessière, C.1    Regin, J.C.2
  • 7
    • 0042155767 scopus 로고
    • Applying constraint satisfaction techniques to job-shop scheduling
    • Carnegie Mellon University, Pittsburgh, PA
    • C. Cheng, S.F. Smith, Applying constraint satisfaction techniques to job-shop scheduling, Technical Report CMU-RI-TR-95-03, Carnegie Mellon University, Pittsburgh, PA, 1995.
    • (1995) Technical Report , vol.CMU-RI-TR-95-03
    • Cheng, C.1    Smith, S.F.2
  • 9
    • 0242292899 scopus 로고
    • Efficient algorithms for networks of quantitative temporal constraints
    • Chleq N. Efficient algorithms for networks of quantitative temporal constraints. Constraints'95. 1995.
    • (1995) Constraints'95
    • Chleq, N.1
  • 11
    • 0025228149 scopus 로고
    • Enhancement schemes for constraint processing: Backjumping, learning, and cutset decomposition
    • Dechter R. Enhancement schemes for constraint processing: Backjumping, learning, and cutset decomposition. Artificial Intelligence. 41:1990;273-312.
    • (1990) Artificial Intelligence , vol.41 , pp. 273-312
    • Dechter, R.1
  • 12
    • 0008452404 scopus 로고    scopus 로고
    • Backtracking algorithms for constraint satisfaction problems
    • University of California at Irvine
    • R. Dechter, D. Frost, Backtracking algorithms for constraint satisfaction problems, Technical Report, University of California at Irvine, 1999.
    • (1999) Technical Report
    • Dechter, R.1    Frost, D.2
  • 14
    • 0000842586 scopus 로고
    • Dead-end driven learning
    • Seattle, WA
    • Frost D., Dechter R. Dead-end driven learning. Proc. AAAI-94, Seattle, WA. 1994.
    • (1994) Proc. AAAI-94
    • Frost, D.1    Dechter, R.2
  • 16
    • 0001877804 scopus 로고
    • GSAT and dynamic backtracking
    • Bonn
    • Ginsberg M., McAllester D. GSAT and dynamic backtracking. Proc. KR-94, Bonn. 1994;226-237.
    • (1994) Proc. KR-94 , pp. 226-237
    • Ginsberg, M.1    McAllester, D.2
  • 17
    • 0002487090 scopus 로고    scopus 로고
    • Boosting combinatorial search through randomization
    • Madison, WI
    • Gomez C.P., Selman B., Kautz H. Boosting combinatorial search through randomization. Proc. AAAI-98, Madison, WI. 1998.
    • (1998) Proc. AAAI-98
    • Gomez, C.P.1    Selman, B.2    Kautz, H.3
  • 18
    • 84985143039 scopus 로고
    • Combining qualitative and quantitative constraints in temporal reasoning
    • Anaheim, CA
    • Meiri I. Combining qualitative and quantitative constraints in temporal reasoning. Proc. AAAI-91, Anaheim, CA. 1991.
    • (1991) Proc. AAAI-91
    • Meiri, I.1
  • 19
    • 0022677637 scopus 로고
    • Arc-consistency and path-consistency revisited
    • Mohr R., Henderson T.C. Arc-consistency and path-consistency revisited. Artificial Intelligence. 28:1986;225-233.
    • (1986) Artificial Intelligence , vol.28 , pp. 225-233
    • Mohr, R.1    Henderson, T.C.2
  • 22
    • 0033340745 scopus 로고    scopus 로고
    • There's more to life than making plans: Plan management in dynamic environments
    • Pollack M.E., Horty J.F. There's more to life than making plans: Plan management in dynamic environments. AI Magazine. 20:(4):1999;71-83.
    • (1999) AI Magazine , vol.20 , Issue.4 , pp. 71-83
    • Pollack, M.E.1    Horty, J.F.2
  • 23
    • 0001372340 scopus 로고
    • Hybrid algorithms for the constraint satisfaction problem
    • Prosser P. Hybrid algorithms for the constraint satisfaction problem. Comput. Intelligence. 9:1993;268-299.
    • (1993) Comput. Intelligence , vol.9 , pp. 268-299
    • Prosser, P.1
  • 25
    • 0242324496 scopus 로고
    • Using CSP look-back techniques to solve real-world SAT instances
    • Providence, RI
    • Bayardo R.J., Schrag R.C. Using CSP look-back techniques to solve real-world SAT instances. Proc. AAAI-97, Providence, RI. 1977.
    • (1977) Proc. AAAI-97
    • Bayardo, R.J.1    Schrag, R.C.2
  • 26
    • 0000031156 scopus 로고
    • Nogood recording for static and dynamic constraint satisfaction problems
    • Schiex T., Verfaillie G. Nogood recording for static and dynamic constraint satisfaction problems. Internat. J. Artificial Intelligence Tools. 3:(2):1994;187-200.
    • (1994) Internat. J. Artificial Intelligence Tools , vol.3 , Issue.2 , pp. 187-200
    • Schiex, T.1    Verfaillie, G.2
  • 29
    • 0004982126 scopus 로고    scopus 로고
    • Backtracking algorithms for disjunctions of temporal constraints
    • Madison, WI
    • Stergiou K., Koubarakis M. Backtracking algorithms for disjunctions of temporal constraints. Proc. AAAI-98, Madison, WI. 1998.
    • (1998) Proc. AAAI-98
    • Stergiou, K.1    Koubarakis, M.2
  • 30
    • 0033722732 scopus 로고    scopus 로고
    • Backtracking algorithms for disjunctions of temporal constraints
    • Stergiou K., Koubarakis M. Backtracking algorithms for disjunctions of temporal constraints. Artificial Intelligence. 120:(1):2000;81-117.
    • (2000) Artificial Intelligence , vol.120 , Issue.1 , pp. 81-117
    • Stergiou, K.1    Koubarakis, M.2
  • 33
    • 0042481741 scopus 로고    scopus 로고
    • CTP: A new constraint-based formalism for conditional, temporal planning
    • to appear
    • Tsamardinos I., Vidal T., Pollack M.E. CTP: A new constraint-based formalism for conditional, temporal planning. Constraints. 8:2003;. to appear.
    • (2003) Constraints , vol.8
    • Tsamardinos, I.1    Vidal, T.2    Pollack, M.E.3
  • 34
    • 0002801668 scopus 로고
    • Weak-commitment search for solving constraint satisfaction problems
    • Seattle, WA
    • Yokoo M. Weak-commitment search for solving constraint satisfaction problems. Proc. AAAI-94, Seattle, WA. 1994.
    • (1994) Proc. AAAI-94
    • Yokoo, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.