Scouting in Real-Time Strategy Games: Theory, Methods and Implementation
Abstract
The real time strategy (RTS) game environment is a strong platform for simulating complex strategic and tactical problems. The overall goal of this research is to develop artificial intelligence (AI) RTS planning platform for military critical decision-making education. The agent should have the ability to perform at an expert level as well as to challenge and assess a player's critical decision-making ability or skill-level. The nature of time sensitivity within the RTS environment creates very complex situations. Each situation must be analyzed, and commands must be given to each tactical unit before the scenario on the battlefield changes and makes the decisions less relevant. This particular investigation effort of Air Force Institute of Technology (AFIT) RTS AI platform, focuses on constructing a novel approach to scouting within the RTS environment using multiobjective evolutionary algorithms (MOEAs) for finding a best scouting solution.