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An Agent-based Simulation of the Effectiveness of Creative Leadership

Leijnen, M.Sc. Stefan and Gabora, Dr. Liane (2010) An Agent-based Simulation of the Effectiveness of Creative Leadership. [Conference Paper] (In Press)

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Abstract

This paper investigates the effectiveness of creative versus uncreative leadership using EVOC, an agent-based model of cultural evolution. Each iteration, each agent in the artificial society invents a new action, or imitates a neighbor’s action. Only the leader’s actions can be imitated by all other agents, referred to as followers. Two measures of creativity were used: (1) invention-to-imitation ratio, iLeader, which measures how often an agent invents, and (2) rate of conceptual change, cLeader, which measures how creative an invention is. High iLeader increased mean fitness of ideas, but only when creativity of followers was low. High iLeader was associated with greater diversity of ideas in the early stage of idea generation only. High Leader increased mean fitness of ideas in the early stage of idea generation; in the later stage it decreased idea fitness. Reasons for these findings and tentative implications for creative leadership in human society are discussed.

Item Type:Conference Paper
Keywords:agent based modeling; broadcasting; creativity; culture; cultural evolution; imitation; leadership.
Subjects:Computer Science > Artificial Intelligence
Psychology > Evolutionary Psychology
Psychology > Social Psychology > Social simulation
ID Code:6846
Deposited By:Gabora, Dr. Liane
Deposited On:21 May 2010 16:00
Last Modified:11 Mar 2011 08:57

References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in cogprints you will be forwarded to the paracite service. Poorly formated references will probably not work.

Andreason, N. C. (1987). Creativity and mental illness;

prevalence rates in writers and their first degree

relatives. American Journal of Psychiatry, 144, 1288-

1292.

Basadur, M. (2004). Leading others to think innovatively

together: Creative leadership. The Leadership Quarterly,

15(1), 103–121.

Bellows, R. M. (1959). Creative leadership. Upper Saddle

River, NJ: Prentice-Hall.

Best, M. (1999). How culture can guide evolution: An

inquiry into gene/meme enhancement and opposition.

Adaptive Behavior, 7(3), 289–293.

Best, M. (2006). Adaptive value within natural language

discourse. Interaction Studies, 7(1), 1-15.

Boone, J. L., Smith, E. A. 1998. Is it evolution yet? A

critique of evolutionary archaeology. Current

Anthropology, 39, S141–73.

Cropley, D. Cropley, A., Kaufman, J. & Runco, M. (2010).

The dark side of creativity. Cambridge UK: Cambridge

University Press.

Fracchia, J. & Lewontin, R. C. (1999). Does culture evolve?

History and Theory, 38(4), 52–78.

Gabora, L. (1994). A computer model of the evolution of

culture. In R. Brooks & P. Maes (Eds.) Proceedings of the

4th International Conference on Artificial Life, July 4-6,

Boston, MA.

Gabora, L. (1995). Meme and Variations: A computer

model of cultural evolution. In L. Nadel & D. Stein (Eds.)

1993 Lectures in Complex Systems, pp. 471−486.

Reading, MA: Addison-Wesley.

Gabora, L. (2004). Ideas are not replicators but minds are.

Biology & Philosophy, 19(1), 127−143.

Gabora, L. (2008a). The cultural evolution of socially

situated cognition. Cognitive Systems Research, 9(1–2),

104–113.

Gabora, L. (2008b). EVOC: A computer model of cultural

evolution. In V. Sloutsky, B. Love & K. McRae (Eds.),

Proceedings of the 30th Annual Meeting of the Cognitive

Science Society, Sheridan Publishing.

Gabora, L. (2008c). Modeling cultural dynamics. In

Proceedings of the Association for the Advancement of

Artificial Intelligence (AAAI) Fall Symposium 1: Adaptive

Agents in a Cultural Context, Menlo Park, CA: AAAI

Press, 18-25.

Gabora, L., Leijnen, S., & von Ghyczy, T. (in press).

Imitation: more than just the greatest compliment.

International Journal of Software and Informatics.

Gigliotta, O. Miglino, O. & Parisi, D. (2007). Groups of

agents with a leader. Journal of Artificial Societies and

Social Simulation, 10(4).

http://jasss.soc.surrey.ac.uk/10/4/1.html

Higgs, P. G. (2000). The mimetic transition: a simulation

study of the evolution of learning by imitation.

Proceedings of the Royal Society B: Biological Sciences,

267(1450), 1355–1361.

Hinton, G. E. & Nowlan, S. J. (1987). How learning can

guide evolution. Complex Systems, 1, 495–502.

Holland, J. K. (1975). Adaptation in Natural and Artificial

Systems. Ann Arbor, MI: University of Michigan Press.

Hutchins, E. & Hazelhurst, B. (1991). Learning in the

cultural crocess. In Langton, C., Taylor, J., Farmer, D., &

Rasmussen, S. (Eds.) Artificial Life II. Redwood City,

CA: Addison-Wesley.

Jamieson, K. R. (1993). Touched by fire: Manic-depressive

illness and the artistic temperament. New York: Free

Press.

Jeffreys, M. (2000). The meme metaphor. Perspectives in

Biology and Medicine , 43(2), 227–242.

Kaufman, J. C., & Sternberg, R. J. (Eds). (2006). The

international handbook of creativity. Cambridge UK:

Cambridge University Press.

Krasnogor, N. & Gustafson, S. (2004). A study on the use of

“self-generation” in memetic algorithms. Natural

Computing, 3(1), 53–76.

Leijnen, S., & Gabora, L. (2009). How creative should

creators be to optimize the evolution of ideas? A

computational model. Electronic Proceedings in

Theoretical Computer Science, 9, 108-119.

Puccio, G. J., Murdock, M. & Mance, M. (2006). Creative

leadership: skills that drive change. Thousand Oaks,

CA: Sage.

Simon, H. A. (1986). What we know about the creative

process. In R. Kuhn (Ed.) Frontiers in creativity and

innovative management. Cambridge, MA: Ballinger.

Sternberg, R. J., Kaufman, J. C. & Pretz, J. E. (2003). A

propulsion model of creative leadership. The Leadership

Quarterly, 14(4-5), 455–473.

Wright, S. (1969). Evolution and the genetics of

Populations. Chicago, IL: University of Chicago Press.

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