Computer models of creativity

AI Magazine

Volumn 30, Issue 3, 2009, Pages 23-34

  Boden, Margaret A ^a  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

AI TECHNIQUES; COMPUTER ART; COMPUTER MODELS; HUMAN INTELLIGENCE;

PHILOSOPHICAL ASPECTS;

EID: 78650729194     PISSN: 07384602     EISSN: None     Source Type: Journal    
DOI: 10.1609/aimag.v30i3.2254     Document Type: Article

References (33)

1. Binsted, K.; Pain, H.; and Ritchie, G. D. 1997. Children's Evaluation of Computer-Generated Punning Riddles. Pragmatics and Cognition 5(2): 305-354.
2. Bird, J., and Layzell, P. 2002. The Evolved Radio and Its Implications for Modelling the Evolution of Novel Sensors. In Proceedings of Congress on Evolutionary Computation, CEC-2002, 1836-1841. Pisacataway NJ: Institute of Electrical and Electronics Engineers.
3. Boden, M. A. In press. Aesthetics and Interactive Art. In Art, Body, Embodiment, ed. R. L. Chrisley C. Makris, R. W. Clowes, and M. A. Boden. Cambridge: Cambridge Scholars Press.
4. Boden, M. A. 2007. Authenticity and Computer Art. Special Issue on Creativity, Computation, and Cognition, ed. P. Brown. Digital Creativity. 18(1): 3-10.
5. Boden, M. A. 2006. Mind as Machine: A History of Cognitive Science. Oxford: Oxford University Press.
6. Boden, M. A. 2004. The Creative Mind: Myths and Mechanisms, 2nd ed. London: Routledge.
7. Boden, M. A. 1999, Is Metabolism Necessary? British Journal for the Philosophy of Science 50(2): 231-248.
8. Boden, M. A., and Edmonds, E. A. 2009. What Is Generative Art? Digital Creativity 20(1-2): 21-46.
9. Buchanan, B. G.; Sutherland, G. L.; and Feigenbaum, E. A. 1969, Heuristic DENDRAL: A Program for Generating Explanatory Hypotheses in Organic Chemistry. In Machine Intelligence 4, ed. B. Meltzer and D. M. Michie, 209-254. Edinburgh: Edinburgh University Press.
10. Cariani, P. 1992. Emergence and Artificial Life. In Artificial Life II, ed. C.J. Langton, C. G. Taylor, J. D. Farmer, and S. Rasmussen, 775-797. Reading, MA: Addison-Wesley.
11. Cohen, H. 1995. The Further Exploits of AARON Painter. In Constructions of the Mind: Artificial Intelligence and the Humanities, ed. S. Franchi and G. Guzeldere. Special edition of Stanford Humanities Review, 4(2): 141-160.
12. Cohen, H. 2002. A Million Millennial Medicis. In Explorations in Art and Technology, ed. L. Candy and E. A. Edmonds, 91-104. London: Springer.
13. Collins, H. M. 1989. Computers and the Sociology of Scientific Knowledge, Social Studies of Science, 19: 613-624.
14. Cope, D. 2006. Computer Models of Musical Creativity. Cambridge, Mass.: The MIT Press.
15. Cope, D. 2001. Virtual Music: Computer Synthesis of Musical Style. Cambridge, Mass.: The MIT Press.
16. Hersey G., and Freedman, R. 1992. Possible Palladian Villas Plus a Few Instructively Impossible Ones. Cambridge, MA: The MIT Press.
17. Hillis, W. D. 1992. Co-Evolving Parasites Improve Simulated Evolution as an Optimization Procedure. In Artificial Life II, ed. C. J. Langton, C. G. Taylor, J. D. Farmer, and S. Rasmussen, 313-324. Reading, MA: Addison-Wesley.
18. Hofstadter, D. R. 2002. How Could a COPYCAT Ever be Creative? In Creativity, Cognition, and Knowledge: An Interaction, ed. T. Dartnall, 405-424. London: Praeger.
19. Hofstadter, D. R., and FARG, The Fluid Analogies Research Group. 1995. Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought. New York: Basic Books.
20. Hofstadter, D. R. 2001. Staring Emmy Straight in the Eye - And Doing My Best Not to Flinch. In Virtual Music: Computer Synthesis of Musical Style, ed. D. Cope, 33-82. Cambridge, Mass.: The MIT Press.
21. Koning, H., and Eizenberg, J. 1981. The Language of the Prairie: Frank Lloyd Wright's Prairie Houses. Environment and Planning, B, 8(4): 295-323.
22. Langley P. W.; Simon, H. A.; Bradshaw, G. L.; and Zytkow, J. M. 1987. Scientific Discovery: Computational Explorations of the Creative Process. Cambridge, MA: The MIT Press.
23. Todd, S. C., and Latham, W. 1992. Evolutionary Art and Computers. London: Academic Press.
24. Lenat, D. B. 1983. The Role of Heuristics in Learning by Discovery: Three Case Studies. In Machine Learning: An Artificial Intelligence Approach, ed. R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, 243-306. Palo Alto, CA: Tioga.
25. McCarthy J.; Minsky, M. L.; Rochester, N.; and Shannon, C. E. 1955. A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. AI Magazine 27(4): 12-14.
26. Pattee, H. H. 1985. Universal Principles of Measurement and Language Functions in Evolving Systems. In Complexity, Language, and Life: Mathematical Approaches, ed. J. Casti and A. Karlqvist, 168-281. Berlin: Springer-Verlag.
27. Rehling, J. A. 2002. Results in the Letter Spirit Project. In Creativity, Cognition, and Knowledge: An Interaction, ed. T. Dartnall. London: Praeger, 273-282.
28. Samuel, A. L. 1959. Some Studies in Machine Learning Using the Game of Checkers. IBM Journal of Research and Development 3: 211-229.
29. Simon, H. A. 1995. Explaining the Ineffable: AI on the Topics of Intuition, Insight, and Inspiration. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, vol. 1, 939-948. San Francisco: Morgan Kaufmann Publishers.
30. Sims, K. 1991. Artificial Evolution for Computer Graphics. Computer Graphics. 25(4): 319-28.
31. Whitelaw, M. 2004. Metacreation: Art and Artificial Life. London: The MIT Press.
32. Wiggins, G. 2006. Searching for Computational Creativity. New Generation Computing 24(3): 209-222. (Pubitemid 44946111)
33. Zytkow, J. ed. 1997. Machine Discovery. London: Kluwer Academic.