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In this book the use of ER techniques for the design of self-organising group behaviours, for both simulated and real robots is introduced. This research has a twofold value. From an engineering perspective, an automatic methodology for synthesising complex behaviours in a robotic system is described.
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.
List of contents
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.
Summary
In this book the use of ER techniques for the design of self-organising group behaviours, for both simulated and real robots is introduced. This research has a twofold value. From an engineering perspective, an automatic methodology for synthesising complex behaviours in a robotic system is described.
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.
Additional text
From the reviews:
“This book is aimed at engineering and cognitive science researchers interested in evolutionary robotics techniques for the design of self-organizing group behaviors.” (IEEE Control Systems Magazine, Vol. 30, June, 2010)
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From the reviews:
"This book is aimed at engineering and cognitive science researchers interested in evolutionary robotics techniques for the design of self-organizing group behaviors." (IEEE Control Systems Magazine, Vol. 30, June, 2010)
