Evolving Neural Network Controllers for a Team of Self-Organizing Robots
Joint Authors
Elmenreich, Wilfried
Fehérvári, István
Source
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-06-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Self-organizing systems obtain a global system behavior via typically simple local interactions among a number of components or agents, respectively.
The emergent service often displays properties like adaptability, robustness, and scalability, which makes the self-organizing paradigm interesting for technical applications like cooperative autonomous robots.
The behavior for the local interactions is usually simple, but it is often difficult to define the right set of interaction rules in order to achieve a desired global behavior.
In this paper, we describe a novel design approach using an evolutionary algorithm and artificial neural networks to automatize the part of the design process that requires most of the effort.
A simulated robot soccer game was implemented to test and evaluate the proposed method.
A new approach in evolving competitive behavior is also introduced using Swiss System instead of the full tournament to cut down the number of necessary simulations.
American Psychological Association (APA)
Fehérvári, István& Elmenreich, Wilfried. 2010. Evolving Neural Network Controllers for a Team of Self-Organizing Robots. Journal of Robotics،Vol. 2010, no. 2010, pp.1-10.
https://search.emarefa.net/detail/BIM-502472
Modern Language Association (MLA)
Fehérvári, István& Elmenreich, Wilfried. Evolving Neural Network Controllers for a Team of Self-Organizing Robots. Journal of Robotics No. 2010 (2010), pp.1-10.
https://search.emarefa.net/detail/BIM-502472
American Medical Association (AMA)
Fehérvári, István& Elmenreich, Wilfried. Evolving Neural Network Controllers for a Team of Self-Organizing Robots. Journal of Robotics. 2010. Vol. 2010, no. 2010, pp.1-10.
https://search.emarefa.net/detail/BIM-502472
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-502472