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ATAL
2008
Springer
15 years 5 months ago
Using organization knowledge to improve routing performance in wireless multi-agent networks
Multi-agent systems benefit greatly from an organization design that guides agents in determining when to communicate, how often, with whom, with what priority, and so on. However...
Huzaifa Zafar, Victor R. Lesser, Daniel D. Corkill...
SAC
2008
ACM
15 years 2 months ago
Supporting the development of context-aware agent-based systems for mobile networks
Distributed applications involving mobile devices interconnected by wireless networks may benefit both from multiagent technology and context-aware programming techniques. This ar...
José Viterbo Filho, Marcelo Andrade da Gama...
125
Voted
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
15 years 4 months ago
Multi-agent task allocation: learning when to say no
This paper presents a communication-less multi-agent task allocation procedure that allows agents to use past experience to make non-greedy decisions about task assignments. Exper...
Adam Campbell, Annie S. Wu, Randall Shumaker
150
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AGENTS
2001
Springer
15 years 7 months ago
Collaborative multiagent learning for classification tasks
Multiagent learning di ers from standard machine learning in that most existing learning methods assume that all knowledge is available locally in a single agent. In multiagent sy...
Pragnesh Jay Modi, Wei-Min Shen
ESAW
2009
Springer
15 years 10 months ago
Normative Multi-Agent Organizations
Multi-agent systems are viewed as consisting of individual agents whose behaviors are regulated by organization artifacts. This abstract presents a programming language, which is d...
Mehdi Dastani