Learning to win: case-based plan selection in a real-time strategy game
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Case-Based Reasoning in Transfer Learning
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Agent Smith: towards an evolutionary rule-based agent for interactive dynamic games
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Hi-index | 0.00 |
Many AI researchers want to test the utility of their systems in complex task environments defined by (e.g., real-time strategy) gaming simulators and/or simulators of computer-generated forces. Also, many developers of commercial and military gaming simulators seek behaviors that can be supported by these systems. However, these integrations require great effort. We will demonstrate the late Alpha version of TIELT, a testbed designed to fill these needs.