Adversarial multi-robot problems, where teams of robots compete with one another, require the development of approaches that span all levels of control and integrate algorithms ra...
James Bruce, Michael H. Bowling, Brett Browning, M...
Abstract. Neuromodulators can have a strong effect on how organisms cooperate and compete for resources. To better understand the effect of neuromodulation on cooperative behavior,...
Andrew Zaldivar, Derrik E. Asher, Jeffrey L. Krich...
Abstract. We describe an approach for learning the model of the opponent in spatio-temporal negotiation. We use the Children in the Rectangular Forest canonical problem as an examp...
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
Abstract— Many games require opponent modelling for optimal performance. The implicit learning and adaptive nature of evolutionary computation techniques offer a natural way to d...