The compact classifier system: Motivation, analysis and first results (Presentation)

This is the presentation for the initial paper on the compact classifier system published in CEC 2005 (Edimburgh., Scotland, September 2005). The presentation slides here (1Mb).

Sep 5, 2005 · 1 min · 26 words · Xavier Llorà

The compact classifier system: Motivation, analysis and first results

by Xavier Llorà, Kumara Sastry, and David E. Goldberg (2006). Proceedings of the Congress on Evolutionary Computation, 1, 596—603. Also as IlliGAL TR No 2005019. Link to the PDF. Abstract This paper presents an analysis of how maximally general and accurate rules can be evolved in a Pittsburgh-style classifier system. In order to be able to perform such an analysis we introduce a simple bare-bones Pittsburgh-style classifier systems—the compact classifier system (CCS)—based on estimation of distribution algorithms....

Jul 20, 2005 · 1 min · 185 words · Xavier Llorà

Combating user fatigue in iGAs: Partial ordering, support vector machines, and synthetic fitness

by Llorà, X., Sastry, K., Goldberg, D.E., Gupta, A., Lakshmi, L. (2005). Published in the ACM Genetic and Evolutionary Computation Conference (GECCO 2005), ACM press, pp. 1363–1371. Also as IlliGAL TR No 2005009. Link to the PDF Abstract: One of the daunting challenges of interactive genetic algorithms (iGAs)—genetic algorithms in which fitness measure of a solution is provided by a human rather than by a fitness function, model, or computation—is user fatigue which leads to sub-optimal solutions....

Jul 19, 2005 · 1 min · 158 words · Xavier Llorà

The evolutionary path to innovation and creativity

Keynote speaker talk in Congreso Mexicano de Computación Evolutiva (CONCEV-2005) about how evolutionary models and chance discovery can support human innovation and creativity. The presentation may be download here (PDF 8.5Mb).

May 26, 2005 · 1 min · 31 words · Xavier Llorà

Mining social networks in message boards

by Matsumura, N., Goldberg, D.E., Llorà, X. (2005). Published in the Symposium on Conversational Informatics for Supporting Social Intel ligence, The Society for the Study of Artificial Intelligence and the Simulation of Behavior Press, pp. 18–27. Also as IlliGAL TR No 2005001. More info. Abstract: In this paper, we first present an approach to extract social networks from message boards on the Internet. Then we show structural features of 3,000 social networks extracted from 3,000 message boards from 15 categories in Yahoo!...

Apr 12, 2005 · 1 min · 151 words · Xavier Llorà