Human behavior representation of military teamwork
Ellis, Jon E.
Martin, Michael W.
Jackson, Leroy A.
MetadataShow full item record
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.
Showing items related by title, author, creator and subject.
Analysis of Team Communications in “Human-in-the-Loop” Experiments in Joint Command and Control Hutchins, Susan G.; Hocevar, Susan P.; Kemple, William G. (Monterey, California. Naval Postgraduate School, 1999);Successful mission accomplishment depends on more than individual skills and knowledge. Communication is essential to team performance in complex tasks. Interaction processes that occur via team communications are critical ...
Observability Options Against an Adversarial Swarm - a Quantitative Analysis Kaminer, Issac; Park, Hyeongjun; Kang, Wei; Gong, Qi (2018-04-17);In this presentation we address the problem of detecting internal cooperating strategies of an adversarial swarm by estimating a set of parameters that define a particular swarm cooperating strategy. This is a nonstandard ...
Observability Options Against an Adversarial Swarm - a Quantitative Analysis [video] Kaminer, Issac; Park, Hyeongjun; Kang, Wei; Gong, Qi (2018-04-17);In this presentation we address the problem of detecting internal cooperating strategies of an adversarial swarm by estimating a set of parameters that define a particular swarm cooperating strategy. This is a nonstandard ...