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Evolutionary Swarm Robotics

Name: Evolutionary Swarm Robotics
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642096358
Price: 746.77 RON
Availability: InStock

Evolving Self-Organising Behaviours in Groups of Autonomous Robots

Autor: Vito Trianni

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Editura: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

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746.77 lei

In this book the use of ER techniques for the design of self-organising group behaviours, for both s...

Informații despre carte

Autor

Vito Trianni

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2010

Pagini

192

EAN

9783642096358

ISBN

3642096352

Enbook ID

02108383

Editura

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Greutate

326

Dimensiuni

155 x 235 x 12

Descriere completă

In this book the use of ER techniques for the design of self-organising group behaviours, for both simulated and real robots is introduced. The book tries to mediate between two apparently opposed perspectives: engineering and cognitive science. The experiments presented in the book 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.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.

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Evolutionary Swarm Robotics

Evolving Self-Organising Behaviours in Groups of Autonomous Robots

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