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

Hládek, Daniel; Vaščák, Ján; Sinčák, Peter

Softcover

ISBN 10: 3847311352 ISBN 13: 9783847311355

Verlag: LAP LAMBERT Academic Publishing, 2012

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

Daniel Hládek is a researcher at the Technical University of Ko?ice, Slovakia at the Department of Electronics and Multimedia Telecommunications.Ján Va?¿ák is an Assistant Professor at the Department of Cybernetics and Artificial Intelligence. Peter Sin¿ák is a full professor at the same department.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2012
• Sprache: Englisch
• ISBN 10: 3847311352
• ISBN 13: 9783847311355
• Einband: Taschenbuch
• Anzahl der Seiten: 124
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Fromm; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland