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» Learning the required number of agents for complex tasks
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CVPR
2005
IEEE
14 years 10 months ago
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
Rong Yan, Milind R. Naphade
GECCO
2009
Springer
14 years 2 months ago
Evolution of team composition in multi-agent systems
Evolution of multi-agent teams has been shown to be an effective method of solving complex problems involving the exploration of an unknown problem space. These autonomous and het...
Joshua Rubini, Robert B. Heckendorn, Terence Soule
ICSE
2009
IEEE-ACM
13 years 5 months ago
A model for dynamic and adaptable services management
The dynamic nature of Service-Oriented Architectures challenges traditional systems management practices which tend to be static in nature. We propose a goal-oriented, agent-based...
Patrick Martin, Wendy Powley, Imad Abdallah, Jun L...
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 2 months ago
Evolution of functional specialization in a morphologically homogeneous robot
A central tenet of embodied artificial intelligence is that intelligent behavior arises out of the coupled dynamics between an agent’s body, brain and environment. It follows t...
Joshua S. Auerbach, Josh C. Bongard
AAAI
1998
13 years 9 months ago
Bayesian Q-Learning
A central problem in learning in complex environmentsis balancing exploration of untested actions against exploitation of actions that are known to be good. The benefit of explora...
Richard Dearden, Nir Friedman, Stuart J. Russell