Design and analysis of learning classifier systems. A probabilistic approach

DOI10.1007/978-3-540-79866-8zbMath1147.68066OpenAlexW4239909464WikidataQ56442543 ScholiaQ56442543MaRDI QIDQ933602

Jan Drugowitsch

Publication date: 22 July 2008

Published in: Studies in Computational Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-79866-8

zbMATH Keywords

machine learning

Mathematics Subject Classification ID

Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (2)

On dynamical genetic programming: simple Boolean networks in learning classifier systems ⋮ Global and Local Environment State Information as Neural Network Input by Solving the Battleship Game

Uses Software

• Mathematica
• ACS2
• YACS

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