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» Learning of coordination: exploiting sparse interactions in ...
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SASO
2008
IEEE
13 years 11 months ago
The Meaning of Semiochemicals to the Design of Self-Organizing Systems
In biology, many organisms coordinate their interactions in a self-organizing and emergent way solely by means of indirect communication based on chemical substances. These so-cal...
Holger Kasinger, Bernhard Bauer, Jörg Denzing...
ATAL
2007
Springer
13 years 11 months ago
Sharing experiences to learn user characteristics in dynamic environments with sparse data
This paper investigates the problem of estimating the value of probabilistic parameters needed for decision making in environments in which an agent, operating within a multi-agen...
David Sarne, Barbara J. Grosz
E4MAS
2004
Springer
13 years 10 months ago
Supporting Context-Aware Interaction in Dynamic Multi-agent Systems
The increasing ubiquity of mobile computing devices has made mobile ad hoc networks an everyday occurrence. Applications in these networks are commonly structured as a logical netw...
Christine Julien, Gruia-Catalin Roman
ISPE
2003
13 years 6 months ago
Coordination in utility managed multi-agent groups
A two stage approach to co-ordination in a multi-agent society is presented. The first stage involves agents learning to co-ordinate their activities based on local and global uti...
Fernanda Barbosa, José C. Cunha, Omer F. Ra...
ATAL
2003
Springer
13 years 10 months ago
Information-driven phase changes in multi-agent coordination
Large systems of agents deployed in a real-world environment face threats to their problem solving performance that are independent of the complexity of the problem or the charact...
Sven Brueckner, H. Van Dyke Parunak