Adaptive battle agents: emergence in artificial life combat models

We explore emergent behavior in an agent-based model of a complex system. The particular complex system we consider is a battlefield simulation. These agents are modeled in the RePast agent-based modeling environment. We will explore how agents of various capabilities and differing task sets affect the outcome of a battle. The capabilities of these agents include, but are not limited to, the ability to maneuver on the battlefield, receive and understand messages, formulate and send messages and attack enemy agents.