Towards Fuzzy Learning Classifier Systems

Daniel Hládek

ISBN 10: 3847311352 / ISBN 13: 9783847311355

Editore: LAP LAMBERT Academic Publishing Feb 2012, 2012

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This item is printed on demand - it takes 3-4 days longer - Neuware -This work aims to provide some new view on the learning of the rule-based systems and explore some possibilities of the autonomous processing of knowledge. Theoretical focus is given on the reinforcement learning, learning classifier systems and fuzzy logic. The second main part of the book proposes an application of the described theory as a new form of a learning rule-based system, suitable for solving tasks in the field of robotics or other problems, where a series of actions is being searched. The proposed approach is evaluated on a set of model problems. In the conclusion, weak sides and necessary improvements are discussed. The book aims to be a small step in the whole process of building an intelligent system - it puts together some ideas in hope that it will be inspiring for others to advance state the art a little more. 124 pp. Englisch.

Codice articolo 9783847311355

Dati bibliografici

• Titolo: Towards Fuzzy Learning Classifier Systems
• Editore: LAP LAMBERT Academic Publishing Feb 2012
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 3847311352
• ISBN 13: 9783847311355
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 220 L x 150 A x 8 P (millimetri) 220 millimetri di larghezza per 150 millimetri di altezza per 8 millimetri di profondità
• Peso: 203 grammi

Descrizione articolo

Riassunto

This work aims to provide some new view on the learning of the rule-based systems and explore some possibilities of the autonomous processing of knowledge. Theoretical focus is given on the reinforcement learning, learning classifier systems and fuzzy logic. The second main part of the book proposes an application of the described theory as a new form of a learning rule-based system, suitable for solving tasks in the field of robotics or other problems, where a series of actions is being searched. The proposed approach is evaluated on a set of model problems. In the conclusion, weak sides and necessary improvements are discussed. The book aims to be a small step in the whole process of building an intelligent system - it puts together some ideas in hope that it will be inspiring for others to advance state the art a little more.

L'autore

Daniel Hládek is a researcher at the Technical University of Košice, Slovakia at the Department of Electronics and Multimedia Telecommunications.Ján Vaščák is an Assistant Professor at the Department of Cybernetics and Artificial Intelligence. Peter Sinčák is a full professor at the same department.