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...
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
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
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...
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...