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Volumn 105, Issue 1-2, 1998, Pages 161-208

On the relations between intelligent backtracking and failure-driven explanation-based learning in constraint satisfaction and planning

Author keywords

Constraint satisfaction; Dependency directed backtracking; Dynamic backtracking; Explanation based learning; Flaw resolution; Nogood learning; Planning; Propagation; Regression

Indexed keywords

COMPUTATIONAL METHODS; CONSTRAINT THEORY; DECISION THEORY; FAULT TREE ANALYSIS; LEARNING SYSTEMS; REGRESSION ANALYSIS;

EID: 0032179503     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0004-3702(98)00087-3     Document Type: Article
Times cited : (14)

References (60)
  • 2
    • 0030374194 scopus 로고    scopus 로고
    • A complexity analysis of space-bounded learning algorithms for the constraint satisfaction problem
    • Portland, OR
    • R. Bayardo, D. Miranker, A complexity analysis of space-bounded learning algorithms for the constraint satisfaction problem, in: Proceedings AAAI-96, Portland, OR, 1996.
    • (1996) Proceedings AAAI-96
    • Bayardo, R.1    Miranker, D.2
  • 3
    • 84957885500 scopus 로고    scopus 로고
    • Using csp look-back techniques to solve exceptionally hard sat instances
    • Ppls of Constraint Programming Languages, Springer, Berlin
    • R. Bayardo, R. Schrag, Using csp look-back techniques to solve exceptionally hard sat instances, in: Ppls of Constraint Programming Languages, Lecture Notes in Comput. Sci., Vol. 1118, Springer, Berlin, 1996.
    • (1996) Lecture Notes in Comput. Sci. , vol.1118
    • Bayardo, R.1    Schrag, R.2
  • 4
    • 0031365466 scopus 로고    scopus 로고
    • Using CSP look-back techniques to solve real-world SAT instances
    • Providence, RI
    • R. Bayardo, R. Schrag, Using CSP look-back techniques to solve real-world SAT instances, in: Proceedings AAAI-97, Providence, RI, 1997.
    • (1997) Proceedings AAAI-97
    • Bayardo, R.1    Schrag, R.2
  • 5
    • 0028404864 scopus 로고
    • On-line learning from search failures
    • N. Bhatnagar, J. Mostow, On-line learning from search failures, Machine Learning 15 (1994) 69-117.
    • (1994) Machine Learning , vol.15 , pp. 69-117
    • Bhatnagar, N.1    Mostow, J.2
  • 6
    • 0001657540 scopus 로고
    • Fast planning through plan-graph analysis
    • Montreal, Quebec
    • A. Blum, M. Furst, Fast planning through plan-graph analysis, in: Proceedings IJCAI-95, Montreal, Quebec, 1995.
    • (1995) Proceedings IJCAI-95
    • Blum, A.1    Furst, M.2
  • 7
    • 0002535421 scopus 로고
    • Solving combinatorial search problems by intelligent backtracking
    • M. Bruynooghe, Solving combinatorial search problems by intelligent backtracking, Inform. Process. Lett. 12 (1981) 36-39.
    • (1981) Inform. Process. Lett. , vol.12 , pp. 36-39
    • Bruynooghe, M.1
  • 8
    • 0041509553 scopus 로고
    • Technical Report, DAI Working Paper 24, University of Edinburgh, Edinburgh
    • L. Daniel, Planning: modifying non-linear plans, Technical Report, DAI Working Paper 24, University of Edinburgh, Edinburgh, 1977.
    • (1977) Planning: Modifying Non-linear Plans
    • Daniel, L.1
  • 9
    • 0025228149 scopus 로고
    • Enhancement schemes for learning: Backjumping, learning and cutset decomposition
    • R. Dechter, Enhancement schemes for learning: backjumping, learning and cutset decomposition, Artificial Intelligence 41 (1990) 273-312.
    • (1990) Artificial Intelligence , vol.41 , pp. 273-312
    • Dechter, R.1
  • 10
    • 85102188694 scopus 로고
    • Belief maintenance in dynamic constraint networks
    • St. Paul, MN
    • R. Dechter, A. Dechter, Belief maintenance in dynamic constraint networks, in: Proceedings AAAI-88, St. Paul, MN, 1988.
    • (1988) Proceedings AAAI-88
    • Dechter, R.1    Dechter, A.2
  • 12
    • 0030359048 scopus 로고    scopus 로고
    • Multi-strategy learning for search control for partial order planning
    • Portland, OR
    • T. Estlin, R. Mooney, Multi-strategy learning for search control for partial order planning, in: Proceedings AAAI-96, Portland, OR, 1996.
    • (1996) Proceedings AAAI-96
    • Estlin, T.1    Mooney, R.2
  • 13
    • 0027554881 scopus 로고
    • A structural theory of explanation-based learning
    • O. Etzioni, A structural theory of explanation-based learning, Artificial Intelligence 60 (1) (1993) 93-109.
    • (1993) Artificial Intelligence , vol.60 , Issue.1 , pp. 93-109
    • Etzioni, O.1
  • 14
    • 0042511314 scopus 로고
    • Why EBL produces overly-specific knowledge: A critique of the prodigy approaches
    • Aberdeen, Scotland
    • O. Etzioni, S. Minton, Why EBL produces overly-specific knowledge: a critique of the prodigy approaches, in: Proceedings Machine Learning Conference, Aberdeen, Scotland, 1992.
    • (1992) Proceedings Machine Learning Conference
    • Etzioni, O.1    Minton, S.2
  • 16
    • 0028572327 scopus 로고
    • In search of the best constraint satisfaction search
    • Seattle, WA
    • D. Frost, R. Dechter, In search of the best constraint satisfaction search, in: Proceedings AAAI-94, Seattle, WA, 1994.
    • (1994) Proceedings AAAI-94
    • Frost, D.1    Dechter, R.2
  • 17
    • 0039192971 scopus 로고
    • A general backtrack algorithm that eliminates most redundant tests
    • Cambridge, MA
    • J. Gaschnig, A general backtrack algorithm that eliminates most redundant tests, in: Proceedings IJCAI-77, Cambridge, MA, 1977.
    • (1977) Proceedings IJCAI-77
    • Gaschnig, J.1
  • 20
    • 0026995493 scopus 로고
    • Composer: A probabilistic solution to the utility problem in speed-up learning
    • San Jose, CA
    • J. Gratch, G. DeJong, Composer: a probabilistic solution to the utility problem in speed-up learning, in: Proceedings AAAI-92, San Jose, CA, 1992, pp. 235-240.
    • (1992) Proceedings AAAI-92 , pp. 235-240
    • Gratch, J.1    DeJong, G.2
  • 21
    • 0030193409 scopus 로고    scopus 로고
    • PALO: A probabilistic hill-climbing algorithm
    • R. Greiner, PALO: a probabilistic hill-climbing algorithm, Artificial Intelligence 84 (1996) 177-208.
    • (1996) Artificial Intelligence , vol.84 , pp. 177-208
    • Greiner, R.1
  • 22
    • 84976775879 scopus 로고
    • Some properties of predicate transformers
    • C.A.R. Hoare, Some properties of predicate transformers, Journal of the ACM 25 (1978) 461-480.
    • (1978) Journal of the ACM , vol.25 , pp. 461-480
    • Hoare, C.A.R.1
  • 23
    • 0042010507 scopus 로고    scopus 로고
    • Design and implementation of a derivational replay system based on a partial order planner
    • Portland, OR
    • L. Ihrig, S. Kambhampati, Design and implementation of a derivational replay system based on a partial order planner, in: Proceedings AAAI-96, Portland, OR, 1996.
    • (1996) Proceedings AAAI-96
    • Ihrig, L.1    Kambhampati, S.2
  • 25
    • 0043012338 scopus 로고    scopus 로고
    • Is least commitment always a good idea?
    • Portland, OR
    • D. Joslin, M. Pollack, Is least commitment always a good idea? in: Proceedings AAAI-96, Portland, OR, 1996.
    • (1996) Proceedings AAAI-96
    • Joslin, D.1    Pollack, M.2
  • 26
    • 27344437474 scopus 로고
    • Admissible pruning strategies for plan-space planners
    • Montreal, Quebec
    • S. Kambhampati, Admissible pruning strategies for plan-space planners, in: Proceedings IJCAI-95, Montreal, Quebec, 1995.
    • (1995) Proceedings IJCAI-95
    • Kambhampati, S.1
  • 27
    • 0030365395 scopus 로고    scopus 로고
    • Formalizing dependency directed backtracking and explanation-based learning in refinement search
    • Portland, OR
    • S. Kambhampati, Formalizing dependency directed backtracking and explanation-based learning in refinement search, in: Proceedings AAAI-96, Portland, OR, 1996.
    • (1996) Proceedings AAAI-96
    • Kambhampati, S.1
  • 28
    • 11544363000 scopus 로고    scopus 로고
    • Refinement planning as a unifying framework for plan synthesis
    • S. Kambhampati, Refinement planning as a unifying framework for plan synthesis, AI Magazine 18 (2) (1997).
    • (1997) AI Magazine , vol.18 , Issue.2
    • Kambhampati, S.1
  • 29
    • 0042010501 scopus 로고    scopus 로고
    • Technical Report ASU CSE TR 98-008, Arizona State University, AZ, August
    • S. Kambhampati, EBL and DDB for Graphplan, Technical Report ASU CSE TR 98-008, Arizona State University, AZ, August 1998; URL: rakaposhi@eas.asu.edu/gp-ebl-tr.ps.
    • (1998) EBL and DDB for Graphplan
    • Kambhampati, S.1
  • 30
    • 0030416991 scopus 로고    scopus 로고
    • Failure driven dynamic search control for partial order planners: An explanation-based approach
    • S. Kambhampati, S. Katukam, Y. Qu, Failure driven dynamic search control for partial order planners: an explanation-based approach, Artificial Intelligence 88 (1996) 253-315.
    • (1996) Artificial Intelligence , vol.88 , pp. 253-315
    • Kambhampati, S.1    Katukam, S.2    Qu, Y.3
  • 34
    • 0012645394 scopus 로고    scopus 로고
    • Role of disjunctive representations and constraint propagation in planning
    • S. Kambhampati, X. Yang, Role of disjunctive representations and constraint propagation in planning, in: Proceedings KR-96, 1996.
    • (1996) Proceedings KR-96
    • Kambhampati, S.1    Yang, X.2
  • 35
    • 0030352389 scopus 로고    scopus 로고
    • Pushing the envelope: Planning, propositional logic and stochastic search
    • Portland, OR
    • H. Kautz, B. Selman, Pushing the envelope: planning, propositional logic and stochastic search, in: Proceedings AAAI-96, Portland, OR, 1996.
    • (1996) Proceedings AAAI-96
    • Kautz, H.1    Selman, B.2
  • 37
    • 0002081439 scopus 로고
    • A theoretical evaluation of selected backtracking algorithms
    • Montreal, Quebec
    • G. Kondrak, P. van Beek, A theoretical evaluation of selected backtracking algorithms, in: Proceedings IJCAI-95, Montreal, Quebec, 1995.
    • (1995) Proceedings IJCAI-95
    • Kondrak, G.1    Van Beek, P.2
  • 38
    • 0043012336 scopus 로고
    • Operationality criteria for recursive predicates
    • Boston, MA
    • S. Letovsky, Operationality criteria for recursive predicates, in: Proceedings AAAI-90, Boston, MA, 1990.
    • (1990) Proceedings AAAI-90
    • Letovsky, S.1
  • 41
    • 0025398889 scopus 로고
    • Quantitative results concerning the utility of explanation-based learning
    • S. Minton, Quantitative results concerning the utility of explanation-based learning, Artificial Intelligence 42 (1990) 363-391.
    • (1990) Artificial Intelligence , vol.42 , pp. 363-391
    • Minton, S.1
  • 43
    • 85135997562 scopus 로고
    • Dynamic constraint satisfaction problems
    • Boston, MA
    • S. Mittal, B. Falkenhainer, Dynamic constraint satisfaction problems, in: Proceedings AAAI-90, Boston, MA, 1990.
    • (1990) Proceedings AAAI-90
    • Mittal, S.1    Falkenhainer, B.2
  • 48
    • 0026986935 scopus 로고
    • Constrained decision revision
    • San Jose, CA
    • C. Petrie, Constrained decision revision, in: Proceedings AAAI-92, San Jose, CA, 1992.
    • (1992) Proceedings AAAI-92
    • Petrie, C.1
  • 49
    • 0002202610 scopus 로고
    • Domain filtering can degrade intelligent backtracking search
    • Chambéry, France
    • P. Prosser, Domain filtering can degrade intelligent backtracking search, in: Proceedings IJCAI-93, Chambéry, France, 1993.
    • (1993) Proceedings IJCAI-93
    • Prosser, P.1
  • 50
    • 0001409005 scopus 로고
    • Stubbornness: A possible enhancement for backjumping and nogood recordings
    • Amsterdam
    • T. Schiex, G. Verfaille, Stubbornness: a possible enhancement for backjumping and nogood recordings, in: Proceedings ECAI-94, Amsterdam, 1994.
    • (1994) Proceedings ECAI-94
    • Schiex, T.1    Verfaille, G.2
  • 52
    • 0002928523 scopus 로고
    • GSAT: A new method for solving hard satisfiability problems
    • San Jose, CA
    • B. Selman, H. Levesque, D.G. Mitchel, GSAT: a new method for solving hard satisfiability problems, in: Proceedings AAAI-92, San Jose, CA, 1992.
    • (1992) Proceedings AAAI-92
    • Selman, B.1    Levesque, H.2    Mitchel, D.G.3
  • 54
    • 0017544789 scopus 로고
    • Forward reasoning and dependency directed backtracking in a system for computer aided circuit analysis
    • R. Stallman, G. Sussman, Forward reasoning and dependency directed backtracking in a system for computer aided circuit analysis, Artificial Intelligence 9 (1977) 135-196.
    • (1977) Artificial Intelligence , vol.9 , pp. 135-196
    • Stallman, R.1    Sussman, G.2
  • 57
    • 0024099378 scopus 로고
    • Explanation-based generalisation = partial evaluation
    • F. van Harmelen, A. Bundy, Explanation-based generalisation = partial evaluation, Artificial Intelligence 36 (1988) 401-412.
    • (1988) Artificial Intelligence , vol.36 , pp. 401-412
    • Van Harmelen, F.1    Bundy, A.2
  • 58
    • 0028564625 scopus 로고
    • Solution reuse in dynamic constraint satisfaction problems
    • Seattle, WA
    • G. Verfaillie, T. Schiex, Solution reuse in dynamic constraint satisfaction problems, in: Proceedings AAAI-94, Seattle, WA, 1994.
    • (1994) Proceedings AAAI-94
    • Verfaillie, G.1    Schiex, T.2
  • 59
    • 38249008106 scopus 로고
    • A theory of conflict resolution in planning
    • Q. Yang, A theory of conflict resolution in planning, Artificial Intelligence 58 (1992) 361-392.
    • (1992) Artificial Intelligence , vol.58 , pp. 361-392
    • Yang, Q.1


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