Computational and Collective Creativity: Who’s Being Creative?
Inhaltsverzeichnis
Reference
Mary Lou Maher: Computational and Collective Creativity: Who’s Being Creative? In: Computational Creativity 2012 ICCC 2012, 67-71.
DOI
Abstract
Creativity research has traditionally focused on human crea- tivity, and even more specifically, on the psychology of in- dividual creative people. In contrast, computational creativ- ity research involves the development and evaluation of creativity in a computational system. As we study the effect of scaling up from the creativity of a computational system and individual people to large numbers of diverse computa- tional agents and people, we have a new perspective: crea- tivity can ascribed to a computational agent, an individual person, collectives of people and agents and/or their interac- tion. By asking “Who is being creative?” this paper exam- ines the source of creativity in computational and collective creativity. A framework based on ideation and interaction provides a way of characterizing existing research in com- putational and collective creativity and identifying direc- tions for future research.
Extended Abstract
Bibtex
@inproceedings{
author = {Mary Lou Maher},
title = {Computational and Collective Creativity: Who’s Being Creative?},
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 = {67-71},
url = {http://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/067-Maher.pdf, http://de.evo-art.org/index.php?title=Computational_and_Collective_Creativity:_Who’s_Being_Creative%3F },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},
}
Used References
Boden, M. 2003. The Creative Mind: Myths and Mechanisms, Routledge; 2 edition
Carlson, K., Schiphorst, T. and Pasquier, P. 2011. Scuddle: Gen- erating Movement Catalysts for Computer-Aided Choreogra- phy, Proceedings of the Second International Conference on Computational Creativity.
Colton, S. 2011. The Painting Fool: Stories from Building an Automated Painter, in J. McCormack and M. d’Inverno Com- puters and Creativity.
Gomez de Silva Garza, A. and Gero, J.S. 2010. Elementary Social Interactions and Their Effects on Creativity: A Computational Simulation, International Conference on Computational Crea- tivity, pp 110-119.
http://eden.dei.uc.pt/~amilcar/ftp/e-Proceedings_ICCC-X.pdf Gero, J.S. 2000. Computational Models of Innovative and Crea- tive Design Processes, Technological Forecasting and Social Change 64, 183-196.
Hong, L. and Page, S. 2004. Groups of diverse problem solvers can outperform groups of high-ability problem solvers, The National Academy of the Sciences.
Maher, M.L.: 2010. Evaluating Creativity in Humans, Computers, and Collectively Intelligent Systems, DESIRE’10: Creativity and Innovation in Design, Aurhus, Denmark.
Maher, M.L., Paulini, M. and Murty, P. 2010. Scaling up: From individual design to collaborative design to collective design, In J S Gero (Ed) Design Computing and Cognition DCC10, Springer, 581-600.
Maloney, J., Resnick, M., Rusk, N., Silverman, B., Eastmond, E. 2010. The Scratch Programming Language and Environment. ACM Transactions on Computing Education (Nov).
Page, S. 2007. The Difference: How the Power of Diversity Cre- ates Better Groups, Princeton University Press.
Paulini, M., Maher, M.L., and Murty, P. 2011. The Role of Col- lective Intelligence in Design: A protocol study of online de- sign communication, in Proceedings of the 16th International Conference on Computer-Aided Architectural Design Re- search in Asia, 687-696.
Oman, S and Tumer, I. 2009. The Potential of Creativity Metrics for Mechanical Engineering Concept Design in Proceedings of the 17th International Conference on Engineering Design (ICED'09), Vol. 2, eds: Bergendahl, N.; Grimheden, M.; Leifer, L.; Skogstad, P.; Lindemann, U., pp 145-156.
Rhodes M. 1987. An analysis of creativity. In Frontiers of Crea- tivity Research: Beyond the Basics, ed: SG Isaksen, Buffalo NY: Bearly, pp 216-222.
Ritchie, G. 2007. Some Empirical Criteria for Attributing Crea- tivity to a Computer Program. Minds and Machines, 17(1):67- 99.
Runco, M.A. 2007. Creativity: Theories and Themes: Research, Development and Practice, Elsevier.
Saunders, R., Gemeinboeck, P., Lombard, A., Bourke, D. and Kocabali, B. 2010. Curious Whispers: An Embodied Artificial Creative System, International Conference on Computational Creativity, pp 100-109. http://eden.dei.uc.pt/~amilcar/ftp/e-Proceedings_ICCC-X.pdf
Shah J., Smith S., Vargas-Hernandez N. 2003. Metrics for meas- uring ideation effectiveness, Design Studies, 24(2), 111-134.
Ventura, D., Pease, A., Perez y Perez, R., Ritchie, G., and Veale, T. (eds). 2010. International Conference on Computational Creativity. http://eden.dei.uc.pt/~amilcar/ftp/e-Proceedings_ICCC-X.pdf
Ventura, D., Gervas, P., Harrell, F., Maher, M.L., Pease, A., and Wiggins, G.: (eds) 2011. Proceedings of the Second Interna- tional Conference on Computational Creativity. http://iccc11.cua.uam.mx/proceedings/index.html
Wiggins, G. 2006. A Preliminary Framework for Description, Analysis and Comparison of Creative Systems, Knowledge- Based Systems 19, 449-458.
Links
Full Text
http://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/067-Maher.pdf
