Skeuomorphs and cultural algorithms
Skeuomorphs are material metaphors instantiated through our technologies in artifacts. They provide us with familiar cues to an unfamiliar domain, sometimes lighting our paths, sometimes leading us astray. Our computational methods are rich with many of these structures resurrected from past practices and borrowed from analogies in non-computational domains. Failing a general theory of how evolutionary processes relate emergently with one another across hierarchical levels through the media of DNA, culture, and technology, we should be curious yet cautious when we remove them from their natural contexts to use them in the artificial world of silicon.
KeywordsZinc Dust Recombination Pleistocene Metaphor
Unable to display preview. Download preview PDF.
- The Compact Edition of the Oxford English Dictionary. Oxford University Press, 1971. Volume II, page 4064.Google Scholar
- Rowland, Ian. Personal communication, 28 March 1998.Google Scholar
- Rowland, Ian. http://www.irowland.demon.co.uk/faq.htm, April 20, 1998.Google Scholar
- Fogel, David. “On the Philosophical Differences between Evolutionary Algorithms and Genetic Algorithms.” In Proceedings of the Second Annual Conference on Evolutionary Programming. The Evolutionary Programming Society, San Diego, 1993. Pages 23–29.Google Scholar
- Eiben, Gusz. Personal communication, San Diego, 27 March 1998.Google Scholar
- Ostman, Charles. “Synthetic Sentience as a Strategic Commodity Resource.” In press, 1998. Page 10.Google Scholar
- Deacon, Terrence. The Symbolic Species — The Co-evolution of Language and the Brain. WW Norton and Company, New York, 1997.Google Scholar
- Gessler, Nicholas. “Book Review: Growing Artificial Societies by Joshua Epstein and Robert Axtell, MIT Press, Cambridge 1996.” Artificial Life, 1997. Volume 3, number 3, pages 237–242.Google Scholar
- Spector, Lee and Sean Luke. “Cultural Transmission of Information in Genetic Programming.” In John Koza, et al, editors, Genetic Programming 1996: Proceedings of the First Annual Conference. MIT Press, Cambridge, 1996. Pages 209–214.Google Scholar
- Reynolds, Robert, et al, “Using Cultural Algorithms for Constraint Handling in GENOCOP.” In John R. McDonnell, et al, Proceedings of the Fourth Annual Conference on Evolutionary Programming. MIT Press, Cambridge, 1995. Pages 289–305.Google Scholar
- Marx, Karl. “The Eighteenth Brumaire of Louis Bonaparte.” 1852. In Karl Marx and Frederick Engels — Selected Works. Progress Publishers, Moscow 1966. Volume 1, page 398.Google Scholar