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Volumn 1, Issue , 2010, Pages 114-120

Searching without a heuristic: Efficient use of abstraction

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; ARTIFICIAL INTELLIGENCE; BENCHMARKING; HEURISTIC METHODS; LEARNING ALGORITHMS; MODULAR ROBOTS;

EID: 77958586679     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (13)
  • 2
    • 26944455119 scopus 로고    scopus 로고
    • Solving the 24-puzzle with instance dependent pattern databases
    • Zucker, J.-D., and Saitta, L., eds. Abstraction, Reformulation and Approximation. Springer
    • Felner, A., and Adler, A. 2005. Solving the 24-puzzle with instance dependent pattern databases. In Zucker, J.-D., and Saitta, L., eds., Abstraction, Reformulation and Approximation, volume 3607 of Lecture Notes in Computer Science, 248-260. Springer.
    • (2005) Lecture Notes in Computer Science , vol.3607 , pp. 248-260
    • Felner, A.1    Adler, A.2
  • 6
    • 26944463406 scopus 로고    scopus 로고
    • Hierarchical heuristic search revisited
    • Zucker, J.-D., and Saitta, L., eds., Abstraction, Reformulation and Approximation, Springer
    • Holte, R. C; Grajkowski, J.; and Tanner, B. 2005. Hierarchical heuristic search revisited. In Zucker, J.-D., and Saitta, L., eds., Abstraction, Reformulation and Approximation, volume 3607 of Lecture Notes in Computer Science, 121-133. Springer.
    • (2005) Lecture Notes in Computer Science , vol.3607 , pp. 121-133
    • Holte, R.C.1    Grajkowski, J.2    Tanner, B.3
  • 8
    • 0022129301 scopus 로고
    • Depth-first iterative-deepening: An optimal admissible tree search
    • Korf, R. E. 1985. Depth-first iterative-deepening: An optimal admissible tree search. Artificial Intelligence 27:97-109.
    • (1985) Artificial Intelligence , vol.27 , pp. 97-109
    • Korf, R.E.1
  • 10
    • 0027646606 scopus 로고
    • Machine discovery of effective admissible heuristics
    • Prieditis, A. 1993. Machine discovery of effective admissible heuristics. Machine Learning 12:117-141.
    • (1993) Machine Learning , vol.12 , pp. 117-141
    • Prieditis, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.