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» Distributed Interactive Learning in Multi-Agent Systems
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IAT
2005
IEEE
13 years 11 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
13 years 9 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
13 years 6 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
13 years 10 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
AAMAS
2005
Springer
13 years 5 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