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== Reference ==
 
== 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.  
+
Gabora, L., [[Steve DiPaola]]: [[How Did Humans Become So Creative? A Computational Approach]]. In: [[Computational Creativity 2012 ICCC 2012]], 203-210.  
  
 
== DOI ==
 
== DOI ==
Zeile 33: Zeile 33:
  
 
== Bibtex ==  
 
== Bibtex ==  
 +
@inproceedings{
 +
author = {Liane Gabora, Steve DiPaola},
 +
title = {How Did Humans Become So Creative? A Computational Approach},
 +
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 = {203-210},
 +
url = {http://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/203-Gabora.pdf, http://de.evo-art.org/index.php?title=How_Did_Humans_Become_So_Creative%3F_A_Computational_Approach },
 +
publisher = {International Association for Computational Creativity},
 +
keywords = {computational, creativity},
 +
}
  
 
== Used References ==
 
== Used References ==
Zeile 38: Zeile 52:
 
Adapted Mind: Evolutionary Psychology and the Genera-
 
Adapted Mind: Evolutionary Psychology and the Genera-
 
tion of Culture. New York: Oxford University Press.
 
tion of Culture. New York: Oxford University Press.
 +
 
Bentley, P., D. Corne D., Eds. 2002. Creative Evolutionary
 
Bentley, P., D. Corne D., Eds. 2002. Creative Evolutionary
 
Systems, Morgan Kaufmann, San Francisco.
 
Systems, Morgan Kaufmann, San Francisco.
 +
 
Bentley, R. A., Ormerod, P., & Batty, M. 2011. Evolving
 
Bentley, R. A., Ormerod, P., & Batty, M. 2011. Evolving
 
social influence in large populations. Behavioral Ecology
 
social influence in large populations. Behavioral Ecology
 
and Sociobiology, 65:537–546.
 
and Sociobiology, 65:537–546.
 +
 
Boden, M. 2003. The Creative Mind: Myths and Mecha-
 
Boden, M. 2003. The Creative Mind: Myths and Mecha-
 
nisms (second edition). Routledge.
 
nisms (second edition). Routledge.
 +
 
Brown, J. 2009. Looking at Darwin: portraits and the mak-
 
Brown, J. 2009. Looking at Darwin: portraits and the mak-
 
ing of an icon. Isis. Sept, 100(3):542–70.
 
ing of an icon. Isis. Sept, 100(3):542–70.
 +
 
Buller, D. J. 2005. Adapting minds. MIT Press.
 
Buller, D. J. 2005. Adapting minds. MIT Press.
 +
 
Buss, D. M. 19992004. Evolutionary Psychology: The
 
Buss, D. M. 19992004. Evolutionary Psychology: The
 
new science of the mind. Boston, MA: Pearson.
 
new science of the mind. Boston, MA: Pearson.
 +
 
Byrne, R., & Russon, A. 1998. Learning by imitation: A
 
Byrne, R., & Russon, A. 1998. Learning by imitation: A
 
hierarchical approach. Behav Brain Sciences, 2:667–721.
 
hierarchical approach. Behav Brain Sciences, 2:667–721.
 +
 
Cavalli-Sforza, L. L., & Feldman, M. W. 1981. Cultural
 
Cavalli-Sforza, L. L., & Feldman, M. W. 1981. Cultural
 
Transmission and Evolution: A Quantitative Approach.
 
Transmission and Evolution: A Quantitative Approach.
Zeile 64: Zeile 86:
 
Conf (pp. 2442–2449), July 7-11, Univ College London.  
 
Conf (pp. 2442–2449), July 7-11, Univ College London.  
  
−
...
+
DiPaola S, 2009. ―Exploring a Parameterized Portrait
 +
Painting Space”, International Journal of Art and Tech-
 +
nology, 2(1-2):82–93.
 +
 
 +
DiPaola, S. & Gabora, L. 2009. Incorporating characteris-
 +
tics of human creativity into an evolutionary art algorithm.
 +
Genet Prog and Evolvable Machines, 10(2):97–110.
 +
 
 +
Donald, M. 1991. Origins of the Modern Mind: Three
 +
Stages in the Evolution of Culture and Cognition. Cam-
 +
bridge, MA: Harvard University Press.
 +
 
 +
Dugatkin, L. 2001. A. Imitation Factor: Imitation in Ani-
 +
mals and the Origin of Human Culture. Free Press.
 +
 
 +
Gabora, L. 1995. Meme and Variations: A computer model
 +
of cultural evolution. In L. Nadel & D. Stein (Eds.) 1993
 +
Lectures in Complex Systems. Addison-Wesley, 471−486.
 +
 
 +
Gabora, L. 1996. A day in the life of a meme. Philosophi-
 +
ca, 57:901–938.
 +
 
 +
Gabora, L. 1999. Conceptual closure: Weaving memories
 +
into an interconnected worldview. In (G. Van de Vijver &
 +
J. Chandler, Eds.) Proc Closure: Intl Conf Emergent Or-
 +
ganizations and Dynamics. May 3-5, Univ Gent, Belgium.
 +
 
 +
Gabora, L. 2008a. EVOC: A computer model of cultural
 +
evolution. In V. Sloutsky, B. Love & K. McRae (Eds.),
 +
Proc Ann Mtng Cog Sci Soc, Sheridan Publ, 1466–1471.
 +
 
 +
Gabora, L. Modeling cultural dynamics. 2008b. In Pro-
 +
ceedings of the Association for the Advancement of Artifi-
 +
cial Intelligence (AAAI) Fall Symposium 1: Adaptive
 +
Agents in a Cultural Context, AAAI Press, 18–25.
 +
 
 +
Gabora, L. & Aerts, D. 2009. A mathematical model of the
 +
emergence of an integrated worldview. Journal of Mathe-
 +
matical Psychology, 53:434-451.
 +
 
 +
Gabora, L. & Leijnen, S. 2009. How creative should crea-
 +
tors be to optimize the evolution of ideas? A computational
 +
model. Electronic Proc Theor Comp Sci, 9:108–119.
 +
 
 +
Gabora, L. & Saberi, M. 2011. How did human creativity
 +
arise? An agent-based model of the origin of cumulative
 +
open-ended cultural evolution. Proceedings:ACM Confer-
 +
ence on Cognition & Creativity, 299-306. Atlanta, GA.
 +
 
 +
Hartley, J. 2009. From cultural studies to cultural science.
 +
Cultural Science, 2:1–16.
 +
 
 +
Higgs, P. 2000. The mimetic transition: a simulation study
 +
of the evolution of learning by imitation. Proceedings:
 +
Royal Society B: Biological Sciences, 267:1355–1361.
 +
 
 +
Heyes, C. M. 1998. Theory of mind in nonhuman primates.
 +
Behavioral and Brain Sciences, 211:104–134.
 +
 
 +
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 cul-
 +
tural process. In Langton, C., Taylor, J., Farmer, D.,
 +
&Rasmussen, S. (Eds.) Artificial Life II. Redwood City,
 +
CA: Addison-Wesley.
 +
 
 +
Jennings, K. E. 2010. Developing creativity: Artificial bar-
 +
riers in artificial intelligence. Minds and Machines, 1–13.
 +
 
 +
Kirby, S. 2001. Spontaneous evolution of linguistic Struc-
 +
ture—An iterated learning model of the emergence of
 +
regularity and irregularity. IEEE Transactions on Evolu-
 +
tionary Computation, 5(2):102–110.
 +
 
 +
Koza, J, 1993. Genetic Programming, MIT Press.
 +
 
 +
Leijnen, S. & Gabora, L. 2010. An agent-based simulation
 +
of the effectiveness of creative leadership. Proc Ann Mtng
 +
Cog Sci Soc 955–960. Aug 11-14, Portland, OR.
 +
 
 +
Mesoudi, A., Whiten, A., & Laland, K. 2006. Toward a
 +
unified science of cultural evolution. Behavioral and Brain
 +
Sciences, 29:329–383.
 +
 
 +
Miller, J. 2011. Cartesian Genetic Programming, Springer.
 +
 
 +
Mithen, S. Ed. 1998. Creativity in Human Evolution and
 +
Prehistory. London, UK: Routledge.
 +
 
 +
Padian, K. 2008. Darwin's Enduring Legacy, Nature,
 +
451:632–634.
 +
 
 +
Pease, A. and Colton, S. 2011. On Impact and Evaluation
 +
in Computational Creativity: A Discussion of the Turing
 +
Test and an Alternative Proposal. In Proceedings of the
 +
AISB symposium on AI and Philosophy.
 +
 
 +
Ritchie, G. 2007. Some empirical criteria for attributing
 +
creativity to a computer program. Minds and Machines 17.
 +
 
 +
Colton, S., Pease, A, Charnley. J. 2011 Computational cre-
 +
ativity theory: The FACE and IDEA descriptive models. In
 +
2nd Int Conference on Computational Creativity.
 +
 
 +
Ruff, C., Trinkaus, E., & Holliday, T. 1997. Body mass
 +
and encephalization in Pleistocene Homo. Nature,
 +
387:173–176.
 +
 
 +
Tomasello, M., Kruger, A., Ratner, H. 1993. Cultural
 +
learning. Behavioral and Brain Sciences, 16:495–552.
 +
 
 +
Wexler, B. 2006. Brain and Culture: Neurobiology, Ideol-
 +
ogy and Social Change. New York: Bradford Books.
 +
 
 +
Whiten, A., Hinde, R., Laland, K., Stringer, C. 2011. Cul-
 +
ture evolves. 2011. Philosophical Transactions of the Roy-
 +
al Society B, 366:938–948.
 +
 
 +
Wiggins, G. 2006. A preliminary framework for descrip-
 +
tion, analysis and comparison of creative systems.
 +
Knowledge-Based Systems 19(7):449-458.
  
  
 
== Links ==
 
== Links ==
 
=== Full Text ===  
 
=== Full Text ===  
 +
http://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/203-Gabora.pdf
 +
 
http://ivizlab.sfu.ca/papers/iccc2012.pdf
 
http://ivizlab.sfu.ca/papers/iccc2012.pdf
  

Aktuelle Version vom 13. November 2015, 15:19 Uhr

Reference

Gabora, L., Steve DiPaola: How Did Humans Become So Creative? A Computational Approach. In: Computational Creativity 2012 ICCC 2012, 203-210.

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

@inproceedings{
author = {Liane Gabora, Steve DiPaola},
title = {How Did Humans Become So Creative? A Computational Approach},
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 = {203-210},
url = {http://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/203-Gabora.pdf, http://de.evo-art.org/index.php?title=How_Did_Humans_Become_So_Creative%3F_A_Computational_Approach },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},
}

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.

DiPaola S, 2009. ―Exploring a Parameterized Portrait Painting Space”, International Journal of Art and Tech- nology, 2(1-2):82–93.

DiPaola, S. & Gabora, L. 2009. Incorporating characteris- tics of human creativity into an evolutionary art algorithm. Genet Prog and Evolvable Machines, 10(2):97–110.

Donald, M. 1991. Origins of the Modern Mind: Three Stages in the Evolution of Culture and Cognition. Cam- bridge, MA: Harvard University Press.

Dugatkin, L. 2001. A. Imitation Factor: Imitation in Ani- mals and the Origin of Human Culture. Free Press.

Gabora, L. 1995. Meme and Variations: A computer model of cultural evolution. In L. Nadel & D. Stein (Eds.) 1993 Lectures in Complex Systems. Addison-Wesley, 471−486.

Gabora, L. 1996. A day in the life of a meme. Philosophi- ca, 57:901–938.

Gabora, L. 1999. Conceptual closure: Weaving memories into an interconnected worldview. In (G. Van de Vijver & J. Chandler, Eds.) Proc Closure: Intl Conf Emergent Or- ganizations and Dynamics. May 3-5, Univ Gent, Belgium.

Gabora, L. 2008a. EVOC: A computer model of cultural evolution. In V. Sloutsky, B. Love & K. McRae (Eds.), Proc Ann Mtng Cog Sci Soc, Sheridan Publ, 1466–1471.

Gabora, L. Modeling cultural dynamics. 2008b. In Pro- ceedings of the Association for the Advancement of Artifi- cial Intelligence (AAAI) Fall Symposium 1: Adaptive Agents in a Cultural Context, AAAI Press, 18–25.

Gabora, L. & Aerts, D. 2009. A mathematical model of the emergence of an integrated worldview. Journal of Mathe- matical Psychology, 53:434-451.

Gabora, L. & Leijnen, S. 2009. How creative should crea- tors be to optimize the evolution of ideas? A computational model. Electronic Proc Theor Comp Sci, 9:108–119.

Gabora, L. & Saberi, M. 2011. How did human creativity arise? An agent-based model of the origin of cumulative open-ended cultural evolution. Proceedings:ACM Confer- ence on Cognition & Creativity, 299-306. Atlanta, GA.

Hartley, J. 2009. From cultural studies to cultural science. Cultural Science, 2:1–16.

Higgs, P. 2000. The mimetic transition: a simulation study of the evolution of learning by imitation. Proceedings: Royal Society B: Biological Sciences, 267:1355–1361.

Heyes, C. M. 1998. Theory of mind in nonhuman primates. Behavioral and Brain Sciences, 211:104–134.

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 cul- tural process. In Langton, C., Taylor, J., Farmer, D., &Rasmussen, S. (Eds.) Artificial Life II. Redwood City, CA: Addison-Wesley.

Jennings, K. E. 2010. Developing creativity: Artificial bar- riers in artificial intelligence. Minds and Machines, 1–13.

Kirby, S. 2001. Spontaneous evolution of linguistic Struc- ture—An iterated learning model of the emergence of regularity and irregularity. IEEE Transactions on Evolu- tionary Computation, 5(2):102–110.

Koza, J, 1993. Genetic Programming, MIT Press.

Leijnen, S. & Gabora, L. 2010. An agent-based simulation of the effectiveness of creative leadership. Proc Ann Mtng Cog Sci Soc 955–960. Aug 11-14, Portland, OR.

Mesoudi, A., Whiten, A., & Laland, K. 2006. Toward a unified science of cultural evolution. Behavioral and Brain Sciences, 29:329–383.

Miller, J. 2011. Cartesian Genetic Programming, Springer.

Mithen, S. Ed. 1998. Creativity in Human Evolution and Prehistory. London, UK: Routledge.

Padian, K. 2008. Darwin's Enduring Legacy, Nature, 451:632–634.

Pease, A. and Colton, S. 2011. On Impact and Evaluation in Computational Creativity: A Discussion of the Turing Test and an Alternative Proposal. In Proceedings of the AISB symposium on AI and Philosophy.

Ritchie, G. 2007. Some empirical criteria for attributing creativity to a computer program. Minds and Machines 17.

Colton, S., Pease, A, Charnley. J. 2011 Computational cre- ativity theory: The FACE and IDEA descriptive models. In 2nd Int Conference on Computational Creativity.

Ruff, C., Trinkaus, E., & Holliday, T. 1997. Body mass and encephalization in Pleistocene Homo. Nature, 387:173–176.

Tomasello, M., Kruger, A., Ratner, H. 1993. Cultural learning. Behavioral and Brain Sciences, 16:495–552.

Wexler, B. 2006. Brain and Culture: Neurobiology, Ideol- ogy and Social Change. New York: Bradford Books.

Whiten, A., Hinde, R., Laland, K., Stringer, C. 2011. Cul- ture evolves. 2011. Philosophical Transactions of the Roy- al Society B, 366:938–948.

Wiggins, G. 2006. A preliminary framework for descrip- tion, analysis and comparison of creative systems. Knowledge-Based Systems 19(7):449-458.


Links

Full Text

http://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/203-Gabora.pdf

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

intern file

Sonstige Links

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

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