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AIPS
2004
13 years 9 months ago
Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection
Coordinated action for a team of robots is a challenging problem, especially in dynamic, unpredictable environments. Robot soccer is an instance of a domain where well defined goa...
Michael H. Bowling, Brett Browning, Manuela M. Vel...
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
14 years 1 months ago
Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Chien-Feng Huang, Luis Mateus Rocha
IAT
2005
IEEE
14 years 1 months ago
Optimizing Agents Operation in Partially Inaccessible and Disruptive Environment
The algorithm we present in this paper aims to optimally distribute and connect the community of loosely coupled middle agents ensuring communication accessibility in a dynamic, i...
David Sislák, Martin Rehák, Michal P...
ATAL
2007
Springer
14 years 1 months ago
Multiagent learning in adaptive dynamic systems
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
Andriy Burkov, Brahim Chaib-draa
CEC
2007
IEEE
14 years 2 months ago
Computational chemotaxis in ants and bacteria over dynamic environments
— Chemotaxis can be defined as an innate behavioural response by an organism to a directional stimulus, in which bacteria, and other single-cell or multicellular organisms direct...
Vitorino Ramos, Carlos Fernandes, Agostinho C. Ros...