http://www.cnr.it/ontology/cnr/individuo/prodotto/ID225224
Analysing an Evolved Robotic Behaviour Using a Biological Model of Collegial Decision Making (Contributo in atti di convegno)
- Type
- Label
- Analysing an Evolved Robotic Behaviour Using a Biological Model of Collegial Decision Making (Contributo in atti di convegno) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/978-3-642-33093-3_38 (literal)
- Alternative label
Francesca, Gianpiero; Brambilla, Manuele; Trianni, Vito; Dorigo, Marco; Birattari, Mauro (2012)
Analysing an Evolved Robotic Behaviour Using a Biological Model of Collegial Decision Making
in 12th International Conference on Adaptive Behaviour, Odense Denmark, Monday, 27 August 2012 to Thursday, 30 August 2012 Proceedings
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Francesca, Gianpiero; Brambilla, Manuele; Trianni, Vito; Dorigo, Marco; Birattari, Mauro (literal)
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- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- ID_PUMA: /cnr.istc/2012-A2-019 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://link.springer.com/content/pdf/10.1007%2F978-3-642-33093-3_38.pdf (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- IRIDIA, CoDE, ULB, Brussels, Belgium; IRIDIA, CoDE, ULB, Brussels, Belgium; CNR-ISTC, Roma1-SanMartino; IRIDIA, CoDE, ULB, Brussels, Belgium; IRIDIA, CoDE, ULB, Brussels, Belgium (literal)
- Titolo
- Analysing an Evolved Robotic Behaviour Using a Biological Model of Collegial Decision Making (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-3-642-33092-6 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- T. Ziemke, C. Balkenius, J. Hallam (literal)
- Abstract
- Evolutionary robotics can be a powerful tool in studies on the evolutionary origins of self-organising behaviours in biological systems. However, these studies are viable only when the behaviour of the evolved artificial system closely corresponds to the one observed in biology, as described by available models. In this paper, we compare the behaviour evolved in a robotic system with the collegial decision making displayed by cockroaches in selecting a resting shelter. We show that artificial evolution can synthesise a simple self-organising behaviour for a swarm of robots, which presents dynamics that are comparable with the cockroaches behaviour. (literal)
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