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» Multi-agent task allocation: learning when to say no
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GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
13 years 11 months ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
MAGS
2010
81views more  MAGS 2010»
13 years 2 days ago
Task allocation learning in a multiagent environment: Application to the RoboCupRescue simulation
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
Sébastien Paquet, Brahim Chaib-draa, Patric...
AAMAS
2008
Springer
13 years 5 months ago
Task dynamics in self-organising task groups: expertise, motivational, and performance differences of specialists and generalist
Abstract Multi-agent simulation is applied to explore how different types of task variety cause workgroups to change their task allocation accordingly. We studied two groups, gener...
Kees Zoethout, Wander Jager, Eric Molleman
SELMAS
2005
Springer
13 years 10 months ago
Characterization and Evaluation of Multi-agent System Architectural Styles
We argue that it is useful to study classes of Multi-Agent System (MAS) architectures, corresponding to architectural styles in addition to particular tures. In this work we focus ...
Paul Davidsson, Stefan J. Johansson, Mikael Svahnb...
ATAL
2005
Springer
13 years 10 months ago
Modeling task allocation using a decision theoretic model
Mediation is the process of decomposing a task into subtasks, finding agents suitable for these subtasks and negotiating with agents to obtain commitments to execute these subtas...
Sherief Abdallah, Victor R. Lesser