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Volumn , Issue , 2005, Pages 337-344

Learning approximate preconditions for methods in hierarchical plans

Author keywords

[No Author keywords available]

Indexed keywords

HIERARCHICAL SYSTEMS; PLANNING; PROBLEM SOLVING; SET THEORY;

EID: 31844435717     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1102351.1102394     Document Type: Conference Paper
Times cited : (32)

References (16)
  • 4
    • 2442676919 scopus 로고    scopus 로고
    • Version spaces and the consistency problem
    • Hirsh, H., Mishra, N., & Pitt, L. (2004). Version spaces and the consistency problem. Artificial Intelligence, 156, 115-138.
    • (2004) Artificial Intelligence , vol.156 , pp. 115-138
    • Hirsh, H.1    Mishra, N.2    Pitt, L.3
  • 7
    • 0033189384 scopus 로고    scopus 로고
    • Learning action strategies for planning domains
    • Khardon, R. (1999). Learning action strategies for planning domains. Artificial Intelligence, 113, 125-148.
    • (1999) Artificial Intelligence , vol.113 , pp. 125-148
    • Khardon, R.1
  • 13
    • 31844439085 scopus 로고
    • Learning recurring sub-plans
    • S. Minton (Ed.). San Mateo, CA: Kaufmann
    • Ruby, D., & Kibler, D. (1993). Learning recurring sub-plans. In S. Minton (Ed.), Machine learning methods for planning, 467-497. San Mateo, CA: Kaufmann.
    • (1993) Machine Learning Methods for Planning , pp. 467-497
    • Ruby, D.1    Kibler, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.