These are slides from a presentation given to provide an overview of our group research on artificial intelligence (specifically, artificially intelligence use to optimize strategy in game play).

1. StarCraft Artificial Intelligence Team

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

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

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

7. Retreat units with low health

9. Focus fire on targets within range

14. Future Goals: Create a full macro-manager AI to play the full game Reinforcement Learning