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Communication Dans Un Congrès Année : 2002

Further Comparison between ATNoSFERES and XCSM

Résumé

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 aliazing. In the context of our ongoing line of research, we compare it with XCSM, a memory-based extension of the most studied Learning Classifier System, XCS, through two benchmark experiments. We focus in particular on internal state generalization, and add special purpose features to ATNoSFERES to fulfill that comparison. We then discuss the role played by internal state generalization in the experiments studied.
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Dates et versions

hal-00860450 , version 1 (02-04-2019)

Identifiants

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Samuel Landau, Sébastien Picault, Olivier Sigaud, Pierre Gérard. Further Comparison between ATNoSFERES and XCSM. IWLCS 2002 - 5th International Workshop on Learning Classifier Systems, Sep 2002, Granada, Spain. pp.99-117, ⟨10.1007/978-3-540-40029-5_7⟩. ⟨hal-00860450⟩
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