|
|
|
|
LEADER |
00000nam a22000005i 4500 |
001 |
978-3-540-77612-3 |
003 |
DE-He213 |
005 |
20220116060539.0 |
007 |
cr nn 008mamaa |
008 |
100301s2008 gw | s |||| 0|eng d |
020 |
|
|
|a 9783540776123
|9 978-3-540-77612-3
|
024 |
7 |
|
|a 10.1007/978-3-540-77612-3
|2 doi
|
050 |
|
4 |
|a TJ212-225
|
050 |
|
4 |
|a TJ210.2-211.495
|
072 |
|
7 |
|a TJFM
|2 bicssc
|
072 |
|
7 |
|a TEC037000
|2 bisacsh
|
072 |
|
7 |
|a TJFM
|2 thema
|
082 |
0 |
4 |
|a 629.8
|2 23
|
100 |
1 |
|
|a Trianni, Vito.
|e author.
|0 (orcid)0000-0002-9114-8486
|1 https://orcid.org/0000-0002-9114-8486
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
245 |
1 |
0 |
|a Evolutionary Swarm Robotics
|h [electronic resource] :
|b Evolving Self-Organising Behaviours in Groups of Autonomous Robots /
|c by Vito Trianni.
|
250 |
|
|
|a 1st ed. 2008.
|
264 |
|
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
|
300 |
|
|
|a XVI, 192 p.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Studies in Computational Intelligence,
|x 1860-9503 ;
|v 108
|
505 |
0 |
|
|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.
|
520 |
|
|
|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.
|
650 |
|
0 |
|a Control engineering.
|
650 |
|
0 |
|a Robotics.
|
650 |
|
0 |
|a Automation.
|
650 |
|
0 |
|a Engineering mathematics.
|
650 |
|
0 |
|a Engineering-Data processing.
|
650 |
|
0 |
|a Artificial intelligence.
|
650 |
|
0 |
|a Mathematics.
|
650 |
1 |
4 |
|a Control, Robotics, Automation.
|
650 |
2 |
4 |
|a Mathematical and Computational Engineering Applications.
|
650 |
2 |
4 |
|a Artificial Intelligence.
|
650 |
2 |
4 |
|a Applications of Mathematics.
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer Nature eBook
|
776 |
0 |
8 |
|i Printed edition:
|z 9783642096358
|
776 |
0 |
8 |
|i Printed edition:
|z 9783540848899
|
776 |
0 |
8 |
|i Printed edition:
|z 9783540776116
|
830 |
|
0 |
|a Studies in Computational Intelligence,
|x 1860-9503 ;
|v 108
|
856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-540-77612-3
|z Texto Completo
|
912 |
|
|
|a ZDB-2-ENG
|
912 |
|
|
|a ZDB-2-SXE
|
950 |
|
|
|a Engineering (SpringerNature-11647)
|
950 |
|
|
|a Engineering (R0) (SpringerNature-43712)
|