A closer look at creativity as search
Inhaltsverzeichnis
Reference
Graeme Ritchie: A closer look at creativity as search. In: Computational Creativity 2012 ICCC 2012, 41-48.
DOI
Abstract
Several papers by Wiggins (building on ideas by Bo- den) have outlined a view of creative concept genera- tion as a very general search process, but that formal- isation has not been developed much in the past few years. Also, there are some aspects where clarification or spelling out of details would be useful. We present a re-formulation of the central ideas in Wiggins’s frame- work, with slightly more rigorous statements of the def- initions and a number of minor extensions. We also ex- plain how this framework relates to some hitherto com- pletely separate proposals by Ritchie.
Extended Abstract
Bibtex
@inproceedings{
author = {Graeme Ritchie},
title = {A closer look at creativity as search},
editor = {Mary Lou Maher, Kristian Hammond, Alison Pease, Rafael Pérez y Pérez, Dan Ventura and Geraint Wiggins},
booktitle = {Proceedings of the Third International Conference on Computational Creativity},
series = {ICCC2012},
year = {2012},
month = {May},
location = {Dublin, Ireland},
pages = {41-48},
url = {http://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/041-Ritchie.pdf, http://de.evo-art.org/index.php?title=A_closer_look_at_creativity_as_search },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},
}
Used References
Boden, M. A. 1998. Creativity and Artificial Intelligence. Artificial Intelligence 103:347–356.
Boden, M. A. 2003. The Creative Mind. London: Rout- ledge, 2nd edition. First edition 1990.
Colton, S.; Charnley, J.; and Pease, A. 2011. Computational creativity theory: The FACE and IDEA descriptive models. In Ventura et al. (2011), 90–95.
Colton, S.; Pease, A.; and Ritchie, G. 2001. The effect of input knowledge on creativity. In Weber, R., and von Wangenheim, C. G., eds., Case-Based Reasoning: Papers from the Workshop Programme at ICCBR 01.
Garc ́ıa, R.; Gerv ́as, P.; Herv ́as, R.; and P ́erez y P ́erez, R. 2006. A framework for the E-R computational creativity model. In 5th Mexican International Conference on Artifi- cial Intelligence (MICAI-06), volume 4293 of LNAI, 70–80. Springer Verlag.
Manurung, R.; Ritchie, G.; and Thompson, H. 2012. Using genetic algorithms to create meaningful poetic text. Jour- nal of Experimental & Theoretical Artificial Intelligence 24(1):43–64.
Nilsson, N. J. 1971. Problem-solving methods in artificial intelligence. New York: McGraw-Hill.
Pease, A.; Winterstein, D.; and Colton, S. 2001. Evaluat- ing machine creativity. In Weber, R., and von Wangenheim, C. G., eds., Case-Based Reasoning: Papers from the Work- shop Programme at ICCBR 01, 129–137.
Ritchie, G. 2001. Assessing creativity. In Proceedings of the AISB Symposium on Artificial Intelligence and Creativity in Arts and Science, 3–11.
Ritchie, G. 2007. Some empirical criteria for attributing creativity to a computer program. Minds and Machines 17(1):67–99.
Thornton, C. J. 2007. How thinking inside the box can become thinking outside the box. In Proceedings of the 4th International Joint Workshop on Computational Creativity.
van Deemter, K. 2010. Not Exactly: in praise of vagueness. Oxford, UK: Oxford University Press.
Ventura, D.; Gerv ́as, P.; D. Fox Harrell; Maher, M. L.; Pease, A.; and Wiggins, G., eds. 2011. Proceedings of the 2nd International Conference on Computational Creativity.
Ventura, D. 2011. No free lunch in the search for creativity. In Ventura et al. (2011), 108–110.
Wiggins, G. 2006a. A preliminary framework for de- scription, analysis and comparison of creative systems. Knowledge-Based Systems 19:449–458.
Wiggins, G. A. 2006b. Searching for computational creativ- ity. New Generation Computing 24(3):209–222.
Links
Full Text
http://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/041-Ritchie.pdf
