SORTS: A Human-Level Approach to Real-Time Strategy AI

We developed knowledge-rich agents to play real-time strategy games by interfacing the ORTS game engine to the Soar cognitive architecture. The middleware we developed supports grouping, attention, coordinated path finding, and FSM control of low-level unit behaviors. The middleware attempts to provide information humans use to reason about RTS games, and facilitates creating agent behaviors in Soar. Agents implemented with this system won two out of three categories in the AIIDE 2006 ORTS competition.

• Type: Conference
• Year: 2007
• Where: AIIDE
• Authors: Samuel Wintermute, Joseph Xu, John E. Laird
• Keywords: AIIDE 2007, Artificial Intelligence, Low-level Unit Behaviors, Real-Time Strategy Games, Soar Cognitive Architecture