Towards Fuzzy Learning Classifier Systems: Theory and Application of the Reinforcement Learning, Fuzzy Logic and Learning Classifier Systems - Couverture souple

Hládek, Daniel; Vaščák, Ján; Sinčák, Peter

 
9783847311355: Towards Fuzzy Learning Classifier Systems: Theory and Application of the Reinforcement Learning, Fuzzy Logic and Learning Classifier Systems
Couverture souple
ISBN 10 : 3847311352 ISBN 13 : 9783847311355
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3847311352
ISBN 13 
9783847311355
Reliure
Broché
Nombre de pages
124
Coordonnées du fabricant
non disponible
Personne responsable
non disponible