Contribution to the Workshop on Case-Based Agents

Our paper published at the Workshop on Case-Based Agents (CBA) held in conjunction with the International Conference on Case-Based Reasoning (ICCBR 2015) focuses on an investigation of case-based opponent player modeling in the domain of simulated robotic soccer. While in previous and related work it has frequently been claimed that the prediction of low-level actions of an opponent agent in this application domain is infeasible, we show that - at least in certain settings - an online prediction of the opponent's actions can be made with high accuracy. We also stress why the ability to know the opponent's next low-level move can be of enormous utility to one's own playing strategy. For details see Publications.