Criticism, culture, and the automatic generation of artworks
Inhaltsverzeichnis
Reference
Spector, L., Alpern, A.: Criticism, culture, and the automatic generation of artworks. In: Proceedings of Twelfth National Conference on Artificial Intelligence, pp. 3–8. AAAI Press/MIT Press, Seattle, Washington, USA (1994).
DOI
Abstract
Researchers wishing to create computational systems that themselves generate artworks face two interacting challenges. The first is that the standards by which artistic output is judged are notoriously difficult to quantify. The larger AI community is currently involved in a rich internal dialogue on methodolog- ical issues, standards, and rigor, and hence murkiness with re- gard to the assessment of output must be faced squarely. The second challenge is that any artwork exists within an extraordi- narily rich cultural and historical context, and it is rare that an artist who is ignorant of this context will produce acceptable works. In this paper we assert that these considerations argue for case-based AI/Art systems that take critical criteria as pa- rameters. We describe an example system that produces new bebop jazz melodies from a case-base of melodies, using ge- netic programming techniques and a fitness function based on user-provided critical criteria. We discuss the role that such techniques may play in future work on AI and the arts.
Extended Abstract
Bibtex
Used References
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Links
Full Text
http://www.aaai.org/Papers/AAAI/1994/AAAI94-001.pdf (problems with c&p of references)
