Can a Computationally Creative System Create Itself? Creative Artefacts and Creative Processes
Inhaltsverzeichnis
Reference
Diarmuid P. O’Donoghue, James Power, Sian O’Briain, Feng Dong, Aidan Mooney, Donny Hurley, Yalemisew Abgaz and Charles Markham: Can a Computationally Creative System Create Itself? Creative Artefacts and Creative Processes. In: Computational Creativity 2014 ICCC 2014, 146-154.
DOI
Abstract
This paper begins by briefly looking at two of the dom- inant perspectives on computational creativity; focusing on the creative artefacts and the creative processes re- spectively. We briefly describe two projects; one fo- cused on (artistic) creative artefacts the other on a (sci- entific) creative process, to highlight some similarities and differences in approach. We then look at a 2- dimensional model of Learning Objectives that uses in- dependent axes of knowledge and (cognitive) processes. This educational framework is then used to cast artefact and process perspectives into a common framework, opening up new possibilities for discussing and com- paring creativity between them. Finally, arising from our model of creative processes, we propose a new and broad 4-level hierarchy of computational creativity, which asserts that the highest level of computational creativity involves processes whose creativity is compa- rable to that of the originating process itself.
Extended Abstract
Bibtex
@inproceedings{
author = {Diarmuid P. O’Donoghue, James Power, Sian O’Briain, Feng Dong, Aidan Mooney, Donny Hurley, Yalemisew Abgaz and Charles Markham},
title = {Can a Computationally Creative System Create Itself? Creative Artefacts and Creative Processes},
booktitle = {Proceedings of the Fifth International Conference on Computational Creativity},
series = {ICCC2014},
year = {2014},
month = {Jun},
location = {Ljubljana, Slovenia},
pages = {146-154},
url = {http://computationalcreativity.net/iccc2014/wp-content/uploads/2014/06//9.1_ODonoghue.pdf, http://de.evo-art.org/index.php?title=Can_a_Computationally_Creative_System_Create_Itself%3F_Creative_Artefacts_and_Creative_Processes },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},
}
Used References
Anderson, L.W.; Krathwohl, D.R.; Airasian, P.W.; Cruik- shank, K.A.; Mayer, R.E.; Pintrich, P.R.; Raths, J.; and Wittrock, M.C. (eds) (2000). A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom's Taxonomy of Educational Objectives,
Anderson, L. W. and Krathwohl, D. R., et al (Eds.) (2001). A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom's Taxonomy of Educational Objectives. Allyn & Bacon, Boston, MA.
Bloom, B. S.; Engelhart, M. D.; Furst, E. J.; Hill, W. H.; and Krathwohl, D. R. (1956). Taxonomy of educational objectives: the classification of educational goals; Hand- book I: Cognitive Domain, New York, Longmans, Green.
Boden, M.A. (1992). The Creative Mind, Abacus.
Boden, M.A. (2010). The Turing Test and Artistic Crea- tivity, Kybernetes, 39 (3), pp 409-413.
Carson, S.H.; Peterson, J.B.; and Higgins, D.M. (2005) Reliability, validity, and factor structure of the creative achievement questionnaire, Creativity Research Journal, 17, pp 37–50.
Chomsky, N., (1959). On certain formal properties of grammars, Information and Control, 2(2), pp 137-167.
Cook, M.; Colton S.; Raad, A.; and Gow J (2013). Me- chanic Miner: Reflection-Driven Game Mechanic Discov- ery and Level Design, LNCS Vol. 7835, pp 284-293.
Forsythe, A.; Nadal, M.; Sheehy, N.; Cela-Conde, C.J.; and Sawey, M. (2010). Predicting beauty: Fractal dimension and visualcomplexity in art, British Journal of Psychology, 102(1), pp 49-70.
Gardner, H. (1993). Creating Minds, Basic Books, NY. Godefroid, P.; Levin, M.Y.; and Molnar, D. (2012). SAGE: Whitebox Fuzzing for Security Testing, Communications of the ACM, 55(3), pp 40-44.
Guilford, J.P. (1950). Creativity, American Psychologist, 5(9), pp 444-454.
Hankins, T. (1980). Sir William Rowan Hamilton, Johns Hopkins University Press.
Krathwohl, D.R.(2002). A Revision of Bloom's Taxonomy: An Overview, Theory Into Practice, 41(4), pp 212-218.
Luke, S. (2013). Essentials of Metaheuristics, 2nd Edn. Lulu, http://cs.gmu.edu/~sean/book/metaheuristics/
McGregor, S. (2007). Algorithmic Information Theory and Novelty Generation, Proc. 4th Intl. Joint Workshop on Computational Creativity (IJWCC), London, June.
Okada, T.; Yokochi, S.; Ishibashi, K.; and Ueda, K. (2009). Analogical modification in the creation of contemporary art, Cognitive Systems Research, 10, pp 189–203.
O'Donoghue, D. and Crean, B. (2002) Searching for Ser- endipitous Analogies, ECAI - Workshop on Creative Sys- tems, Lyon, France.
O’Donoghue, D.P.; Bohan, A.; and Keane, M.T. (2006). Seeing things: Inventive reasoning with geometric analo- gies and topographic maps, New Generation Computing, 24(3), pp 267-288.
O'Donoghue, D.P. and Keane, M.T. (2012). A Creative Analogy Machine: Results and Challenges, International Conference on Computational Creativity (ICCC), UCD, Dublin, Ireland, pp 17-24.
Pease, A.; Colton, S.; Ramezani, R.; Charnley, J.; and Reed, K. (2013). A Discussion on Serendipity in Creative Systems, International Conference on Computational Cre- ativity (ICCC), Sydney, Australia, pp 64-71.
Pitu, M.; Grijincu, D.; Li, P.; Saleem, A.; Monahan, R.; and O'Donoghue, D.P. (2013). Arís: Analogical Reasoning for reuse of Implementation & Specification, AI for For- mal Methods (AI4FM) Workshop, Rennes France, 22 July.
Ritchie, G. (2012). A Closer look at Creativity as Search, 4th International Conference on Computational Creativity (ICCC), UCD, Dublin, Ireland, pp 41-48.
Newell, A.; Shaw, J.G.; and Simon, H.A. (1963). The Pro- cess of Creative Thinking, in Contemporary Approaches to Creative Thinking, pp 63-119. New York: Atherton.
Stojanov, G. and Indurkhya, B. (2012). Perceptual Similar- ity and Analogy in Creativity and Cognitive Development, 1st International Workshop on Similarity and Analogy- based Methods in AI (SAMAI), at ECAI, France.
Togelius, J.; Yannakakis, G.N.; Stanley, K.O.; and Camer- on Browne C. (2011). Search-based Procedural Content Generation: A Taxonomy and Survey, IEEE Transactions on Computational Intelligence and AI in Games 3(3), pp 1- 15.
Veale, T.; and O’Donoghue, D. (2000). Computation and Blending, Cognitive Linguistics, 11(3/4), pp 253-282.
Veale, T. (2012). Exploding the Creativity Myth, London: Bloomsbury Academic.
Wells, D. (1990). Are these the Most Beautiful? The Math- ematical Intelligencer, 12(3), pp 37-41.
Wiggins, G.A. (2006). Searching for Computational Crea- tivity, New Generation Computing, 24(3), pp 209–222.
Links
Full Text
http://computationalcreativity.net/iccc2014/wp-content/uploads/2014/06//9.1_ODonoghue.pdf
