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03677nam a22005775i 4500 |
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978-3-540-77612-3 |
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DE-He213 |
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20151204161418.0 |
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cr nn 008mamaa |
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100301s2008 gw | s |||| 0|eng d |
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|a 9783540776123
|9 978-3-540-77612-3
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|a 10.1007/978-3-540-77612-3
|2 doi
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|d GrThAP
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|a TJ210.2-211.495
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|a T59.5
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|a 629.892
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|a Trianni, Vito.
|e author.
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|a Evolutionary Swarm Robotics
|h [electronic resource] :
|b Evolving Self-Organising Behaviours in Groups of Autonomous Robots /
|c by Vito Trianni.
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2008.
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| 300 |
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|a XVI, 192 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 108
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| 505 |
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|a 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.
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|a 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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| 650 |
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|a Engineering.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Applied mathematics.
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| 650 |
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|a Engineering mathematics.
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| 650 |
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|a Control engineering.
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| 650 |
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|a Robotics.
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| 650 |
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|a Mechatronics.
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| 650 |
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|a Automation.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Robotics and Automation.
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| 650 |
2 |
4 |
|a Appl.Mathematics/Computational Methods of Engineering.
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| 650 |
2 |
4 |
|a Control, Robotics, Mechatronics.
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| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
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| 650 |
2 |
4 |
|a Applications of Mathematics.
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| 710 |
2 |
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|a SpringerLink (Online service)
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0 |
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783540776116
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| 830 |
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 108
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-540-77612-3
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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