A Comparison between ATNoSFERES and XCSM

Abstract : In this paper we present ATNoSFERES, a new framework based on an indirect encoding Genetic Algorithm which builds finite-state automata controllers able to deal with perceptual aliasing. We compare it with XCSM, a memory-based extension of the most studied Learning Classifier System, XCS, through a benchmark experiment. We then discuss the assets and drawbacks of ATNoSFERES in the context of that comparison.
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Samuel Landau, Sébastien Picault, Olivier Sigaud, Pierre Gérard. A Comparison between ATNoSFERES and XCSM. GECCO 2002: Genetic and Evolutionary Computation Conference, Jul 2002, New York, United States. pp.926-933. ⟨hal-00860423⟩

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