Enhancing Creativity with Niche Construction
Inhaltsverzeichnis
Reference
Jon McCormack: Enhancing Creativity with Niche Construction. In: Harold Fellermann, Mark Dörr, Martin M. Hanczyc, Lone Ladegaard Laursen, Sarah Maurer, Daniel Merkle, Pierre-Alain Monnard, Kasper Stoy and Steen Rasmussen (eds.), Artificial Life XII (Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems) Odense, Dennmark. MIT Press, Cambridge MA, pp. 525-532
DOI
Abstract
We address the question of how processes from evolution- ary biological ecosystems can be abstracted and beneficially applied in creative domains. Evolution is a process capa- ble of generating appropriate (fit) novelty in biological sys- tems, so it is interesting to ask if it can do so in other, non- biological systems. Past approaches have focused on optimi- sation via fitness evaluation (either machine representable or human evaluated), but this is ill-suited to creative systems, as creativity is not necessarily an optimisation process. Our approach is to consider the creative system as a virtual evolu- tionary ecosystem, specifically adopting the process of niche construction. We show how the abstracted niche construction process can be applied to an agent-based line drawing sys- tem, enhancing the diversity and heterogeneity of drawings produced over a version without niche construction.
Extended Abstract
Bibtex
Used References
Annunziato, M. (2002). The nagual experiment. http://www.plancton.com/papers/nagual.pdf
Baker, E. and Seltzer, M. I. (1994). Evolving line drawings. In Graphics Interface ’94, pages 91–100, Banff, Canada.
Basalla, G. (1998). The Evolution of Technology. Cambridge Uni- versity Press, Cambridge, MA.
Begon, M., Townsend, C., and Harper, J. (2006). Ecology: from individuals to ecosystems. Wiley-Blackwell.
Bird, J., Husbands, P., Perris, M., Bigge, B., and Brown, P. (2008). Implicit fitness functions for evolving a drawing robot. In Gi- acobini, M., Brabazon, A., Cagnoni, S., Caro, G. D., Drech- sler, R., Ek ́art, A., Esparcia-Alc ́azar, A., Farooq, M., Fink, A., McCormack, J., O’Neill, M., Romero, J., Rothlauf, F., Squillero, G., Uyar, S., and Yang, S., editors, EvoWorkshops, volume 4974 of Lecture Notes in Computer Science, pages 473–478. Springer.
Birkhoff, G. D. (1933). Aesthetic Measure. Harvard University Press, Cambridge, MA.
Boden, M. A. (2004). The creative mind: myths & mechanisms. (2nd edition), Routledge, Oxon.
Carroll, S. (2005). Endless forms most beautiful: The new science of evo devo and the making of the animal kingdom. WW Norton & Company.
Day, R. L., Laland, K. N., and Odling-Smee, J. (2003). Rethinking adaptation: the niche-construction perspective. Perspectives in Biology and Medicine, 46(1):80–95.
Dyke, J. G., McDonald-Gibson, J., Di Paolo, E., and Harvey, I. R. (2007). Increasing complexity increases stability in a self reg- ulating ecosystem. In Proceedings of IXth European Confer- ence on Artificial Life, ECAL 2007, LNCS 4648, pages 133– 142.
Gamma, E., Helm, R., Johnson, R., and Vlissides, J. (1995). De- sign patterns: elements of reusable object-oriented software. Addison-Wesley professional computing series. Addison- Wesley, Reading, Mass.
Gould, S. J. (2002). The Structure of Evolutionary Theory. Harvard University Press, Cambridge, MA.
Griffiths, T. D. (2008). Capturing creativity. Brain, 131(1):6–7.
Laland, K. N., Odling-Smee, J., and Feldman, M. W. (1999). Niche construction, biological evolution and cultural change. Be- havioral and brain sciences, 23(01):131–146.
Machado, P., Romero, J., and Manaris, B. (2008). Experiments in computational aesthetics. In Romero, J. and Machado, P., editors, The Art of Artificial Evolution: A Handbook on Evo- lutionary Art and Music, Natural Computing Series, pages 381–415. Springer.
Mahfoud, S. W. (1995). A comparison of parallel and sequen- tial niching methods. In Proceedings of the 6th International Conference on Genetic Algorithms, page 143, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc.
Maynard Smith, J. and Szathm ́ary, E. (1995). The major transitions in evolution. W.H. Freeman Spektrum, Oxford; New York.
McCormack, J. (2005). Open problems in evolutionary music and art. In Rothlauf, F., Branke, J., Cagnoni, S., Corne, D. W., Drechsler, R., Jin, Y., Machado, P., Marchiori, E., Romero, J., Smith, G. D., and Squillero, G., editors, EvoWorkshops, volume 3449 of Lecture Notes in Computer Science, pages 428–436. Springer.
McCormack, J. (2007). Creative ecosystems. In Cardoso, A. and Wiggins, G., editors, Proceedings of the 4th International Joint Workshop on Computational Creativity, pages 129–136.
McCormack, J. (2010). Creative evolution. In preparation.
McCormack, J. and Bown, O. (2009). Life’s what you make: Niche construction and evolutionary art. In Giacobini, M., Brabazon, A., Cagnoni, S., Caro, G. A. D., Ek ́art, A., Esparcia-Alc ́azar, A., Farooq, M., Fink, A., Machado, P., Mc- Cormack, J., O’Neill, M., Neri, F., Preuss, M., Rothlauf, F., Tarantino, E., and Yang, S., editors, EvoWorkshops, volume 5484 of Lecture Notes in Computer Science, pages 528–537. Springer.
Nowak, M. A. (2006). Evolutionary Dynamics: exploring the equations of life. The Bekknap Press of Harvard University Press, Cambridge, Massachusetts, and London, England.
Odling-Smee, J., Laland, K. N., and W., F. M. (2003). Niche Con- struction: The Neglected Process in Evolution, Monographs in Population Biology. Princeton University Press.
Perlin, K. (2002). Improving noise. ACM Transactions on Graph- ics (TOG), 21(3):681–682.
Perlovsky, L. I. (2010). Intersections of mathematical, cognitive, and aesthetic theories of mind. Psychology of Aesthetics, Cre- ativity and the Arts, 4(1):11–17.
Ramachandran, V. S. (2003). The Emerging Mind. Reith lectures; 2003. BBC in association with Profile Books, London.
Ramachandran, V. S. and Hirstein, W. (1999). The science of art: A neurological theory of aesthetic experience. Journal of Con- sciousness Studies, 6:15–51.
Staudek, T. (2002). Exact Aesthetics. Object and Scene to Mes- sage. PhD thesis, Faculty of Informatics, Masaryk University of Brno.
Sternberg, R. J. (1999). Handbook of creativity. Cambridge Uni- versity Press, Cambridge, U.K.; New York.
Svang ̊aard, N. and Nordin, P. (2004). Automated aesthetic selec- tion of evolutionary art by distance based classification of genomes and phenomes using the universal similarity metric. In Raidl, G. R., Cagnoni, S., Branke, J., Corne, D., Drechsler, R., Jin, Y., Johnson, C. G., Machado, P., Marchiori, E., Roth- lauf, F., Smith, G. D., and Squillero, G., editors, EvoWork- shops 2004, volume 3005 of Lecture Notes in Computer Sci- ence, pages 447–456. Springer.
Takagi, H. (2001). Interactive evolutionary computation: Fusion of the capabilities of ec optimization and human evaluation. Proceedings of the IEEE, 89:1275–1296.
Links
Full Text
http://www.csse.monash.edu.au/~jonmc/research/Papers/Artificial_Life_XII_McCormack.pdf
Sonstige Links
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.2570