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GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 7 months ago
Nonlinear dynamics modelling for controller evolution
The problem of how to acquire a model of a physical robot, which is fit for evolution of controllers that can subsequently be used to control that robot, is considered in the con...
Julian Togelius, Renzo De Nardi, Hugo Gravato Marq...
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
15 years 8 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
GECCO
2009
Springer
15 years 8 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
ATAL
2010
Springer
15 years 2 months ago
Programming norm change
To adequately deal with the unpredictable and dynamic environments normative frameworks are typically deployed in, mechanisms for modifying the norms at runtime are crucial. We pr...
Nick A. M. Tinnemeier, Mehdi Dastani, John-Jules C...
AI
2009
Springer
15 years 8 months ago
Cost-Based Sampling of Individual Instances
In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
William Klement, Peter A. Flach, Nathalie Japkowic...