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» Distributed Interactive Learning in Multi-Agent Systems
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IAT
2005
IEEE
15 years 3 months ago
Exploiting Multi-Agent Interactions for Identifying the Best-Payoff Information Source
In many different applications on the Web, distributed agents would like to discover and access high quality information sources. This is a challenging problem since an agent does...
Young-Woo Seo, Katia P. Sycara
KESAMSTA
2009
Springer
15 years 2 months ago
Structural Changes in an Email-Based Social Network
ent Artificial Immune Systems (MAAIS) for Intrusion Detection: Abstraction from Danger Theory Chung-Ming Ou, C.R. Ou Ants-like Agents: a Model and Analysis Based on Natural Ants Be...
Krzysztof Juszczyszyn, Katarzyna Musial
ATAL
2010
Springer
14 years 10 months ago
Role evolution in Open Multi-Agent Systems as an information source for trust
In Open Multi-Agent Systems (OMAS), deciding with whom to interact is a particularly difficult task for an agent, as repeated interactions with the same agents are scarce, and rep...
Ramón Hermoso, Holger Billhardt, Sascha Oss...
ATAL
2003
Springer
15 years 2 months ago
Self-Organization in Multi Agent Systems: A Middleware Approach
Self-organization is built upon two main building blocks: adaptive and uncoupled interaction mechanisms and context-awareness. Here we show how the middleware TOTA (Tuples On The ...
Marco Mamei, Franco Zambonelli
113
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AAMAS
2005
Springer
14 years 9 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke