CRACS: Compaction of Rules in Anticipatory Classifier Systems

Author:

Orhand Romain12ORCID,Collet Pierre12ORCID,Parrend Pierre13ORCID,Jeannin-Girardon Anne12ORCID

Affiliation:

1. Icube Laboratory, Strasbourg, France

2. University of Strasbourg, Strasbourg, France

3. EPITA, Strasbourg, France

Funder

Université de Strasbourg

Publisher

ACM

Reference27 articles.

1. Alejandro Barredo Arrieta , Natalia Diaz-Rodriguez , Javier Del Ser , Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador Garcia, Sergio Gil-López, Daniel Molina, Richard Benjamins, et al. 2020 . Explainable Artificial Intelligence (XAI): Concepts , taxonomies, opportunities and challenges toward responsible AI. Information fusion 58 (2020), 82--115. Alejandro Barredo Arrieta, Natalia Diaz-Rodriguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador Garcia, Sergio Gil-López, Daniel Molina, Richard Benjamins, et al. 2020. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information fusion 58 (2020), 82--115.

2. Anthony J Bagnall and Zhanna V Zatuchna . 2005. On the classification of maze problems . In Foundations of Learning Classifier Systems . Springer , 305--316. Anthony J Bagnall and Zhanna V Zatuchna. 2005. On the classification of maze problems. In Foundations of Learning Classifier Systems. Springer, 305--316.

3. Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction

4. Martin V Butz and Wolfgang Stolzmann . 2001 . An algorithmic description of ACS2 . In International Workshop on Learning Classifier Systems. Springer, 211--229 . Martin V Butz and Wolfgang Stolzmann. 2001. An algorithmic description of ACS2. In International Workshop on Learning Classifier Systems. Springer, 211--229.

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