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GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
15 years 10 months ago
Environmental robustness in multi-agent teams
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
Terence Soule, Robert B. Heckendorn
ATAL
2003
Springer
15 years 9 months ago
Scenario description for multi-agent simulation
Making it easier to design interactions between agents and humans is essential for realizing multi-agent simulations of social phenomena such as group dynamics. To realize large-s...
Yohei Murakami, Toru Ishida, Tomoyuki Kawasoe, Rei...
ATAL
2008
Springer
15 years 6 months ago
Convergence at prominent agents: a non-flat synchronization model of situated multi-agents
This paper presents a novel non-flat synchronization model where the synchronization capacity of each agent is different regarding its social rank and strategy dominance. In the p...
Jiuchuan Jiang, Yichuan Jiang
AAMAS
2007
Springer
15 years 4 months ago
Generalized multiagent learning with performance bound
Abstract – Despite increasing deployment of agent technologies in several business and industry domains, user confidence in fully automated agent driven applications is noticeab...
Bikramjit Banerjee, Jing Peng
IEEESCC
2006
IEEE
15 years 10 months ago
Multiagent Policy Architecture for Virtual Business Organizations
A virtual organization (VO) is a dynamic collection of entities (individuals, enterprises, and information resources) collaborating on some computational activity. VOs are an emer...
Yathiraj B. Udupi, Munindar P. Singh