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Volumn , Issue , 2011, Pages 90-95

Computational creativity theory: The FACE and IDEA descriptive models

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LEARNING THEORY; DESCRIPTIVE MODEL; VISUAL ARTS;

EID: 84866018307     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (144)

References (29)
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    • Angluin, D.1
  • 3
    • 10044242249 scopus 로고    scopus 로고
    • Creativity at the meta-level
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    • Buchanan, B.1
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    • Converging on the divergent: The history (and future) of the international joint workshops in computational creativity
    • Cardoso, A.; Veale, T.; and Wiggins, G. 2009. Converging on the divergent: The history (and future) of the international joint workshops in computational creativity. AI Magazine 30(3).
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    • Cardoso, A.1    Veale, T.2    Wiggins, G.3
  • 5
    • 21644452146 scopus 로고    scopus 로고
    • The TM system for repairing non-theorems
    • Colton, S., and Pease, A. 2005. The TM system for repairing non-theorems. ENTCS, 125(3).
    • (2005) ENTCS , vol.125 , Issue.3
    • Colton, S.1    Pease, A.2
  • 9
    • 52449123863 scopus 로고    scopus 로고
    • Automatic invention of fitness functions, with application to scene generation
    • Colton, S. 2008a. Automatic invention of fitness functions, with application to scene generation. In Proc. of the EvoMusArt Wshop.
    • (2008) Proc. of the EvoMusArt Wshop
    • Colton, S.1
  • 10
    • 52449091319 scopus 로고    scopus 로고
    • Creativity vs the perception of creativity in computational systems
    • Colton, S. 2008. Creativity vs the perception of creativity in computational systems. Proc. AAAI Spring Symp. on Creative Systems.
    • (2008) Proc. AAAI Spring Symp. on Creative Systems
    • Colton, S.1
  • 14
    • 1842693056 scopus 로고
    • AM: Discovery in mathematics as heuristic search
    • McGraw-Hill
    • Lenat, D. 1982. AM: Discovery in mathematics as heuristic search. In Knowledge-Based Systems in AI. McGraw-Hill.
    • (1982) Knowledge-based Systems in AI
    • Lenat, D.1
  • 22
    • 34547267848 scopus 로고    scopus 로고
    • Some empirical criteria for attributing creativity to a computer program
    • Ritchie, G. 2007. Some empirical criteria for attributing creativity to a computer program. Minds and Machines 17.
    • (2007) Minds and Machines , pp. 17
    • Ritchie, G.1
  • 23
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    • Strength of weak learnability
    • Schapire, R. 1990. Strength of weak learnability. Mach. Learn. 5.
    • (1990) Mach. Learn. , pp. 5
    • Schapire, R.1
  • 26
    • 21344461300 scopus 로고    scopus 로고
    • Collaboration and creativity: The small world problem
    • Uzzi, B., and Spiro, J. 2005. Collaboration and creativity: The small world problem. Am. Journal of Sociology 111(2).
    • (2005) Am. Journal of Sociology , vol.111 , Issue.2
    • Uzzi, B.1    Spiro, J.2
  • 27
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    • A theory of the learnable
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    • Valiant, L.1
  • 28
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    • Searching for computational creativity
    • Wiggins, G. 2006. Searching for computational creativity. New Generation Computing 24(3).
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    • Wiggins, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.