How Did Humans Become So Creative? A Computational Approach

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Reference

Gabora, L., Steve DiPaola: How Did Humans Become So Creative? A Computational Approach. In: Proc. International Conference on Computational Creativity, pp 203-211, 2012.

DOI

Abstract

This paper summarizes efforts to computationally mod- el two transitions in the evolution of human creativity: its origins about two million years ago, and the ̳big bang‘ of creativity about 50,000 years ago. Using a computational model of cultural evolution in which neural network based agents evolve ideas for actions through invention and imitation, we tested the hypothe- sis that human creativity began with onset of the capaci- ty for recursive recall. We compared runs in which agents were limited to single-step actions to runs in which they used recursive recall to chain simple actions into complex ones. Chaining resulted in higher diversi- ty, open-ended novelty, no ceiling on the mean fitness of actions, and greater ability to make use of learning. Using a computational model of portrait painting, we tested the hypothesis that the explosion of creativity in the Middle/Upper Paleolithic was due to onset of con- textual focus: the capacity to shift between associative and analytic thought. This resulted in faster conver- gence on portraits that resembled the sitter, employed painterly techniques, and were rated as preferable. We conclude that recursive recall and contextual focus pro- vide a computationally plausible explanation of how humans evolved the means to transform this planet.

Extended Abstract

Bibtex

Used References

Barkow, J. H., Cosmides, L., & Tooby, J., Eds. 1992. The Adapted Mind: Evolutionary Psychology and the Genera- tion of Culture. New York: Oxford University Press. Bentley, P., D. Corne D., Eds. 2002. Creative Evolutionary Systems, Morgan Kaufmann, San Francisco. Bentley, R. A., Ormerod, P., & Batty, M. 2011. Evolving social influence in large populations. Behavioral Ecology and Sociobiology, 65:537–546. Boden, M. 2003. The Creative Mind: Myths and Mecha- nisms (second edition). Routledge. Brown, J. 2009. Looking at Darwin: portraits and the mak- ing of an icon. Isis. Sept, 100(3):542–70. Buller, D. J. 2005. Adapting minds. MIT Press. Buss, D. M. 19992004. Evolutionary Psychology: The new science of the mind. Boston, MA: Pearson. Byrne, R., & Russon, A. 1998. Learning by imitation: A hierarchical approach. Behav Brain Sciences, 2:667–721. Cavalli-Sforza, L. L., & Feldman, M. W. 1981. Cultural Transmission and Evolution: A Quantitative Approach. Princeton: Princeton University Press.

Cloak, F. T. Jr. 1975. Is a cultural ethology possible? Hu- man Ecology, 3:161–182.

DiPaola, S. & Gabora, L. 2007. Incorporating characteris- tics of human creativity into an evolutionary art algorithm. In (D. Thierens, Ed.), Proc Genetic and Evol Computing Conf (pp. 2442–2449), July 7-11, Univ College London.

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Full Text

http://ivizlab.sfu.ca/papers/iccc2012.pdf

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Sonstige Links

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.388.5479