Using a fuzzy logic control system for an Xpilot combat agent

Fuzzy logic controllers provide a means of reasoning in uncertain and non-specific situations. By abstracting input values into membership sets, linguistic rule sets can be applied to reason with the information. In the space combat game Xpilot, it is reasonable to use a crisp, rule-based system for an autonomous controller, but such controllers can be outperformed by fuzzy systems. In this paper, we use fuzzy logic to develop a more versatile controller that can deal with complicated situations effectively. Previous artificial intelligence research in Xpilot-AI has not yet made use of fuzzy systems for agent control.