An Agent-based Simulation for Modeling Intelligent Munitions

An agent-based emergent intelligence methodology is utilized to assemble agents into teams and assign distributed tasks to them in a dynamic environment. The application concerns the management of military missions that utilize intelligent munitions that are capable of searching, detecting, identifying, and attacking targets in a battlefield. The simulator follows a reactive, behavior-based design philosophy. Agents are implemented as asynchronous threads that employ polymorphic signal-based communication. Results to date indicate that the simulation framework is effective in evaluating ways for emergent teams to quickly solve dynamic teaming and task allocation problems. Key-Words: Autonomous agents, Simulation, Intelligent munitions, Unmanned Air Vehicles