Hamelin: A model for collective adaptation based on internal stimuli

Vincent Thomas 1 Christine Bourjot 1 Vincent Chevrier 1 Didier Desor
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Groups of rats confronted to an increasing difficulty to reach food organize themselves. The emergent organizational structure is characterized by a distribution of two different behavioral profiles among the rats. This specialization is stable, robust and presents adaptive properties. Hamelin, the simulation system we propose is based on the coupling of two existing models: adaptive response thresholds and dominance relationships. It manages to reproduce the organization observed by biologists and presents some interesting adaptive properties. The originality of this model is that local internal needs (hunger) are distributed among the collectivity without an explicit global representation. The collectivity profits from individual adaptation abilities.
Keywords : self-organisation adaptation multi-agent system simulation ethology systeme multi-agent ethologie auto-organisation
Type de document :
Communication dans un congrès
Schaal, Stefan and Ijspeert, Auke and Billard, Aude and Vijayakumar, Sethu and Hallam, John and Meyer, Jean-Arcady. From animal to animats 8 - Eighth International Conference on the Simulation of Adaptive Behaviour 2004 - SAB'04, 2004, Los Angeles, USA, pp.425-434, 2004
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https://hal.inria.fr/inria-00108103
Contributeur : Publications Loria <>
Soumis le : jeudi 19 octobre 2006 - 15:48:03
Dernière modification le : mardi 18 septembre 2018 - 14:04:05

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  • HAL Id : inria-00108103, version 1

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Vincent Thomas, Christine Bourjot, Vincent Chevrier, Didier Desor. Hamelin: A model for collective adaptation based on internal stimuli. Schaal, Stefan and Ijspeert, Auke and Billard, Aude and Vijayakumar, Sethu and Hallam, John and Meyer, Jean-Arcady. From animal to animats 8 - Eighth International Conference on the Simulation of Adaptive Behaviour 2004 - SAB'04, 2004, Los Angeles, USA, pp.425-434, 2004. 〈inria-00108103〉

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