A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...
The quality of AI opponents often leaves a lot to be desired, which poses many attractive challenges for AI researchers. In this respect, Turn-based Strategy (TBS) games are of pa...
Spatial reasoning is a major source of difficulties for strategy game AIs. We conjecture that qualitative spatial reasoning techniques can help overcome these difficulties. We bri...
This paper presents an adaptive tit-for-tat strategy and a study of its behavior in spatial IPD games. The adaptive tit-for-tat strategy is shown elsewhere to demonstrate high perf...
Researchers in commonsense, qualitative spatial and temporal reasoning (QSTR) provide flexible and intuitive methods for reasoning about vague and uncertain information including ...