The document outlines the participation of an artificial intelligence team in the AIIDE 2010 Starcraft competition, detailing various tournament battles and accomplishments in micro-management strategies. It highlights the use of an open-source C++ framework, BWAPI, which allows AI modules to engage in non-cheating gameplay using real-time AI algorithms. Future goals include developing a comprehensive macro-manager AI that employs reinforcement learning to fully play the game.

1. StarCraft Artificial Intelligence Team

2. AIIDE 2010 StarCraft CompetitionTournament 1: Micro-managementZealot Battle (9v9)Dragoon Battle (12v12)Zerg Air Battle (24v24)Tournament 2: Small Scale CombatDragoon Battle (10v10)Medic and Marines Battle (28v28)

3. BroodwarApplication Programming Interface (BWAPI)Open-source C++ framework for creating AI modules for StarCraftAllows programmers to access “fair” information on the terrain, players, and units during a gameAllows AI units to be non-cheatingUse real-time AI algorithms in a robust commerical RTS environment

4. Zealot vs ZealotAccomplishments:Put units in a strategic line formation

5. Calculate the probability of a group of units winning against the opposing group

6. Lanchester’s lawsGoals:Split units into several independent groups for local advantage situations

7. Retreat units with low health

8. Target enemy units with low healthDragoon vs DragoonAccomplishments:Organize units in line formation

9. Focus fire on targets within range

10. Choose most damaged targetGoals:Retreat damaged units