Computational Creativity: A Philosophical Approach, and an Approach to Philosophy

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche


Reference

Stephen McGregor, Geraint Wiggins and Matthew Purver: Computational Creativity: A Philosophical Approach, and an Approach to Philosophy. In: Computational Creativity 2014 ICCC 2014, 254-262.

DOI

Abstract

This paper seeks to situate computational creativity in relation to philosophy and in particular philosophy of mind. The goal is to investigate issues relevant to both how computational creativity can be used to explore philosophical questions and how philosophical posi- tions, whether they are accepted as accurate or not, can be used as a tool for evaluating computational creativity. First, the possibility of symbol manipulating machines acting as creative agents will be examined in terms of its ramifications for historic and contemporary theories of mind. Next a philosophically motivated mechanism for evaluating creative systems will be proposed, based on the idea that an intimation of dualism, with its in- herent mental representations, is a thing that typical ob- servers seek when evaluating creativity. Two compu- tational frameworks that might adequately satisfy this evaluative mechanism will then be described, though the implementation of such systems in a creative con- text is left for future work. Finally, the kind of audi- ence required for the type of evaluation proposed will be briefly discussed.

Extended Abstract

Bibtex

@inproceedings{
author = {Stephen McGregor, Geraint Wiggins and Matthew Purver},
title = {Computational Creativity: A Philosophical Approach, and an Approach to Philosophy},
booktitle = {Proceedings of the Fifth International Conference on Computational Creativity},
series = {ICCC2014},
year = {2014},
month = {Jun},
location = {Ljubljana, Slovenia},
pages = {254-262},
url = {http://computationalcreativity.net/iccc2014/wp-content/uploads/2014/06//12.2_McGregor.pdf, http://de.evo-art.org/index.php?title=Computational_Creativity:_A_Philosophical_Approach,_and_an_Approach_to_Philosophy },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},
}

Used References

Ackley, D. H.; Hinton, G. E.; and Sejnowski, T. J. 1985. A learning algorithm for Boltzmann machines. Cognitive Science 9(1):147–169.

Bengio, Y. 2009. Learning deep architecture for AI. Ma- chine Learning 2(1):1–127.

Blei, D. M.; Ng, A. Y.; and Jordan, M. I. 2003. Latent Dirichlet allocation. Journal of Machine Learning Re- search 3:993–1022.

Boden, M. A. 1990. The Creative Mind: Myths and Mech- anisms. London: Weidenfeld and Nicolson.

Boden, M. A. 2006. Mind as Machine: A History of Cogni- tive Science. Oxford: Clarendon.

Boden, M. A. 2014. Skills and the appreciation of computer art. In Proceedings of AISB14CC.

Chalmers, D. J. 1996. The Conscious Mind. Oxford Uni- versity Press.

Chemero, A. 2009. Radical Embodied Cognitive Science. Cambridge, MA: The MIT Press.

Chomsky, N., and Halle, M. 1968. The Sound Pattern of English. New York: Harper and Row.

Coecke, B.; Sadrzadeh, M.; and Clark, S. 2011. Mathemat- ical foundations for a compositional distributed model of meaning. Linguistic Analysis 36(1-4):345–384.

Colton, S.; Charnley, J.; and Pease, A. 2011. Computa- tional creativity theory: The FACE and IDEA models. In Proceedings of the International Conference on Compu- tational Creativity.

Colton, S.; Goodwin, J.; and Veale, T. 2012. Full-FACE poetry generation. Proceedings of the Third International Conference on Computational Creativity 95–102.

Colton, S. 2008. Creativity versus the perception of creativ- ity in computational systems. In Proceedings of the AAAI Spring Symposium on Creative Intelligent Systems.

Davidson, D. 1987. Knowing one’s own mind. In Proceed- ings and Addresses of the American Philosophical Asso- ciation, volume 60, 441–458.

Davidson, D. 2001. Truth and meaning. In Martinich, A. P., ed., The Philosophy of Language. 114–124.

Dennett, D. C., and Searle, J. R. 1995. ‘The Mystery of Consciousness’: An Exchange. The New York Review of Books 42(20).

Dennett, D. C. 1991. Consciousness Explained. London: The Penguin Press.

Descartes, R. 1911. The Philosophical Works of Descartes. Cambridge University Press. Translated by Elizabeth S. Haldane.

1991. Feist Publications Inc. v. Rural Tel. Service Co., 499 U.S. 330.

Fodor, J. A., and Pylyshyn, Z. W. 1988. Connectionism and cognitive architecture: A critical analysis. Cognition 28(1-2):3–71.

Gerv ́as, P. 2010. Engineering linguistic creativity: Bird flight and jet planes. In Proceedings of the NAACL HLT 2010 Second Workshop on Computational Approaches to Linguistic Creativity, 23–30.

Gibson, J. J. 1979. The Ecological Approach to Visual Per- ception. Boston: Houghton Miffline.

Grefenstette, E., and Sadrzadeh, M. 2011. Experimen- tal support for a categorical compositional distributional model of meaning. Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing.

Hinton, G. E.; Osindero, S.; and Teh, Y.-W. 2006. A fast learning algorithm for deep belief nets. Neural Computa- tion 18(7):1527–1554.

Leymarie, F. F., and Tresset, P. 2012. Robot drawing and hu- man engagement. In Proceedings of the 5th International Workshop on Human-Friendly Robotics.

McCulloch, W. S., and Pitts, W. H. 1990. A logical calcu- lus of the ideas immanent in nervous activity. In Boden, M. A., ed., The Philosophy of Artificial Intelligence. Ox- ford University Press.

McGregor, S. 2014. Considering the law as an evaluative mechanism for computational creativity. In Proceedings of AISB14CC.

Mitchell, J., and Lapata, M. 2008. Vector-based models of semantic composition. In Proceedings of ACL-08:HLT, 236–244.

Newell, A., and Simon, H. A. 1990. Computer science as empirical enquiry: Symbols and search. In Boden, M. A., ed., The Philosophy of Artificial Intelligence. Oxford Uni- versity Press. 105–132.

No ̈e, A. 2004. Action in Perception. Cambridge, MA: The MIT Press.

Pattee, H. H. 2008. Physical and functional conditions for symbols, codes, and languages. Biosemiotics 1(2):147– 168.

Pease, A., and Colton, S. 2011a. Computaional creativity theory: Inspirations behind the FACE and IDEA models. In Proceedings of the International Conference on Com- putational Creativity.

Pease, A., and Colton, S. 2011b. 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.

Pease, A.; Winterstein, D.; and Colton, S. 2001. Evaluating machine creativity. In Proceedings of ICCBR-2001. Plato. 1892. The Republic. Oxford University Press.

Putnam, H. 1988. Representations and Reality. MIT Press. Putnam, H. 1996. The meaning of “meaning”. In Pessin, A., and Goldberg, S., eds., The Twin Earth Chronicles: Twenty Years of Reflections on Hilary Putnam’s “The Meaning of ‘Meaning”’. Armonk, NY: M.E. Sharpe. 3– 52.

Ritchie, G. 2001. Assessing creativity. In Proceedings of the AISB Symposium on AI and Creativity in Arts and Sci- ence.

Ritchie, G. 2007. Some empirical criteria for attributing creativity to a computer program. Minds and Machines 17(1):67–99.

Rowlands, M. 2010. The New Science of the Mind. Cam- bridge, MA: The MIT Press.

Salton, G.; Wong, A.; and Yang, C. S. 1975. A vector space model for automatic indexing. In Proceedings of the 12th ACM SIGIR Conference, 137–150.

Sch ̈utze, H. 1998. Automatic word sense discrimination. Computational Linguistics 24(1):97–123.

Searle, J. R. 1990. Minds, brains, and programs. In Bo- den, M. A., ed., The Philosophy of Artificial Intelligence. Oxford University Press. 67–88.

Serre, T.; Kouh, M.; Cadieu, C.; Knoblich, U.; Kreiman, G.; and Poggio, T. 2005. A theory of object recognition: Computations and circuits in the feedforward path of the ventral stream in primate visual cortex. Technical report, MIT Computer Science and Artificial Intelligence Labo- ratory.

Sloman, A. 1978. The Computer Revolution in Philosophy: Philosophy Science and Models of Mind. The Harvester Press.

Varela, F. J.; Thompson, E.; and Rosch, E. 1991. The Em- bodied Mind. Cambridge, MA: The MIT Press.

Wiggins, G. A. 2006a. A preliminary framework for de- scription, analysis and comparison of creative systems. Knowledge-Based Systems 19:449–458.

Wiggins, G. A. 2006b. Searching for computational creativ- ity. New Generation Computing 24:209–222.

Wiggins, G. A. 2012. The mind’s chorus: Creativity before consciousness. Cognitive Computing (4):306–319.

Wittgenstein, L. 1967. Philosophical Investigations. Ox- ford: Basil Blackwell, 3rd edition. trans. G. E. M. Anscombe.


Links

Full Text

http://computationalcreativity.net/iccc2014/wp-content/uploads/2014/06//12.2_McGregor.pdf

intern file

Sonstige Links