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Volumn , Issue , 2002, Pages 131-141

CaMeL: Learning Method Preconditions for HTN Planning

Author keywords

[No Author keywords available]

Indexed keywords

DOMAIN KNOWLEDGE;

EID: 85164964984     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (37)
  • 2
    • 0026255231 scopus 로고
    • O-plan: The open planning architecture
    • Currie, K., and Tate, A. 1991. O-plan: The open planning architecture. Artificial Intelligence 52:49-86.
    • (1991) Artificial Intelligence , vol.52 , pp. 49-86
    • Currie, K.1    Tate, A.2
  • 7
    • 0027554881 scopus 로고
    • A structural theory of explanation-based learning
    • Etzioni, O. 1993. A structural theory of explanation-based learning. Artificial Intelligence 60:93-139.
    • (1993) Artificial Intelligence , vol.60 , pp. 93-139
    • Etzioni, O.1
  • 8
    • 2842560201 scopus 로고
    • STRIPS: A new approach to the application of theorem proving to problem solving
    • Fikes, R. E., and Nilsson, N. J. 1971. STRIPS: A new approach to the application of theorem proving to problem solving. Artificial Intelligence 2:189-208.
    • (1971) Artificial Intelligence , vol.2 , pp. 189-208
    • Fikes, R. E.1    Nilsson, N. J.2
  • 10
    • 0010222605 scopus 로고
    • Ph.D. Dissertation, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213
    • Gil, Y. 1992. Acquiring Domain Knowledge for Planning by Experimentation. Ph.D. Dissertation, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213.
    • (1992) Acquiring Domain Knowledge for Planning by Experimentation
    • Gil, Y.1
  • 13
    • 12444258560 scopus 로고
    • Evaluation and selection of biases in machine learning
    • Gordon, D., and desJardins, M. 1995. Evaluation and selection of biases in machine learning. Machine Learning 20:5-22.
    • (1995) Machine Learning , vol.20 , pp. 5-22
    • Gordon, D.1    desJardins, M.2
  • 16
    • 0028530086 scopus 로고
    • Generalizing version spaces
    • Hirsh, H. 1994. Generalizing version spaces. Machine Learning 17:5-45.
    • (1994) Machine Learning , vol.17 , pp. 5-45
    • Hirsh, H.1
  • 18
    • 0002982589 scopus 로고
    • Chunking in SOAR: The anatomy of a general learning mechanism
    • Laird, J. E.; Rosenbloom, P. S.; and Newell, A. 1986. Chunking in SOAR: The anatomy of a general learning mechanism. Machine Learning 1:11-46.
    • (1986) Machine Learning , vol.1 , pp. 11-46
    • Laird, J. E.1    Rosenbloom, P. S.2    Newell, A.3
  • 20
  • 21
    • 0032071726 scopus 로고    scopus 로고
    • Inductive learning of search control rules for planning
    • Leckie, C., and Zukerman, I. 1998. Inductive learning of search control rules for planning. Artificial Intelligence 101:63-98.
    • (1998) Artificial Intelligence , vol.101 , pp. 63-98
    • Leckie, C.1    Zukerman, I.2
  • 25
    • 0025398889 scopus 로고
    • Quantitative results concerning the utility of explanation based learning
    • Minton, S. N. 1990. Quantitative results concerning the utility of explanation based learning. Artificial Intelligence 42:363-391.
    • (1990) Artificial Intelligence , vol.42 , pp. 363-391
    • Minton, S. N.1
  • 32
    • 33646358070 scopus 로고
    • Learning from solution paths: An approach to the credit assignment problem
    • Sleeman, D.; Langley, P.; and Mitchell, T. M. 1982. Learning from solution paths: An approach to the credit assignment problem. AI Magazine 3:48-52.
    • (1982) AI Magazine , vol.3 , pp. 48-52
    • Sleeman, D.1    Langley, P.2    Mitchell, T. M.3
  • 34
    • 0027552829 scopus 로고
    • Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization
    • Veloso, M., and Carbonell, J. G. 1993. Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization. Machine Learning 10:249-278.
    • (1993) Machine Learning , vol.10 , pp. 249-278
    • Veloso, M.1    Carbonell, J. G.2
  • 36
    • 0030234085 scopus 로고    scopus 로고
    • Case-based planning: selected methods and systems
    • Veloso, M.; Muñoz-Avila, H.; and Bergmann, R. 1996. Case-based planning: selected methods and systems. AI Communications 9:128-137.
    • (1996) AI Communications , vol.9 , pp. 128-137
    • Veloso, M.1    Muñoz-Avila, H.2    Bergmann, R.3
  • 37
    • 0000460378 scopus 로고
    • Can AI planners solve practical problems?
    • Wilkins, D. E. 1990. Can AI planners solve practical problems? Computational Intelligence 6:232-246.
    • (1990) Computational Intelligence , vol.6 , pp. 232-246
    • Wilkins, D. E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.