Buch, Englisch, Band 108, 192 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 324 g
Evolving Self-Organising Behaviours in Groups of Autonomous Robots
Buch, Englisch, Band 108, 192 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 324 g
Reihe: Studies in Computational Intelligence
ISBN: 978-3-642-09635-8
Verlag: Springer
ER techniques should be used in order to obtain robust and efficient group behaviours based on self-organisation. From a more theoretical point of view, the second important contribution brought forth by the author's experiments concerns the understanding of the basic principles underlying self-organising behaviours and collective intelligence. In this experimental work, the evolved behaviours are analysed in order to uncover the mechanisms that have led to a certain organisation.
In summary, this book tries to mediate between two apparently opposed perspectives: engineering and cognitive science. The experiments presented and the results obtained contribute to the assessment of ER not only as a design tool, but also as a methodology for modelling and understanding intelligent adaptive behaviours.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
Weitere Infos & Material
The Evolution of Self-Organization.- Embodied Cognitive Science.- Multi-Robot Systems, Swarm Robotics and Self-Organisation.- Evolutionary Robotics for Self-Organising Behaviours.- Experiments with Simulated and Real Robots.- A Self-Organising Artefact: The Swarm-bot.- Coordinated Motion.- Hole Avoidance.- Self-Organising Synchronisation.- Future Directions.- Emergent Collective Decisions through Self-Organisation.- Decision-Making Mechanisms through the Perception of Time.- From Solitary to Collective Behaviours: Decision Making and Cooperation.- Conclusions.