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» Learning in Multi-Agent Systems
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154
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ESAW
2008
Springer
15 years 5 months ago
ADELFE Design, AMAS-ML in Action
The complexity of engineers tasks leads us to provide means to bring the Adaptive Multi-Agent Systems (AMAS) design to a higher stage of automation and confidence thanks to Model D...
Sylvain Rougemaille, Jean-Paul Arcangeli, Marie Pi...
ATAL
2009
Springer
15 years 10 months ago
Stigmergic landmark foraging
In this paper, we describe a nature-inspired optimization algorithm based on bee foraging behavior. This algorithm combines the high performance of bee path-integration navigation...
Nyree Lemmens, Karl Tuyls
142
Voted
ATAL
2007
Springer
15 years 9 months ago
The effect of task and environment factors on M.A.S. coordination and reorganization
Research on organization of Multi-Agent Systems (M.A.S.) has shown that by adapting its organization, a M.A.S. is better able to operate in dynamic environments. In this paper we ...
Mattijs Ghijsen, Wouter N. H. Jansweijer, Bob J. W...
142
Voted
ATAL
2007
Springer
15 years 9 months ago
Towards a Framework for Agent Coordination and Reorganization, AgentCoRe
Abstract. Research in the area of Multi-Agent System (MAS) organization has shown that the ability for a MAS to adapt its organizational structure can be beneficial when coping wi...
Mattijs Ghijsen, Wouter N. H. Jansweijer, Bob J. W...
KESAMSTA
2007
Springer
15 years 9 months ago
Ontology Agent Based Rule Base Fuzzy Cognitive Maps
This work proposes a framework for the design and development of Ontology Agents oriented to manage Rule Base Fuzzy Cognitive Maps (RBFCM). The approach takes into account the foun...
Alejandro Peña Ayala, Humberto Sossa, Franc...