Human behavior representation of military teamwork

Abstract

This work presents a conceptual structure for the behaviors of artificial intelligence agents, with emphasis on creating teamwork through individual behaviors. The goal is to set up a framework which enables teams of simulation agents to behave more realistically. Better team behavior can lend a higher fidelity of human behavior representation in a simulation, as well as provide opportunities to experiment with the factors that create teamwork. The framework divides agent behaviors into three categories: leadership, individual, and team-enabling. Leadership behaviors consist of planning, decision-making, and delegating. Individual behaviors consist of moving, shooting, environment-monitoring, and self-monitoring. Team-enabling behaviors consist of communicating, synchronizing actions, and team member monitoring. These team-enabling behaviors augment the leadership and individual behaviors at all phases of an agent's thought process, and create aggregate team behavior that is a hybrid of emergent and hierarchical teamwork. The net effect creates, for each agent, options and courses of action which are sub-optimal from the individual agent's standpoint, but which leverage the power of the team to accomplish objectives. The individual behaviors synergistically combine to create teamwork, allowing a group of agents to act in such a manner that their overall effectiveness is greater than the sum of their individual contributions.