Training Teams with Collaborative Agents

Training teams is an activity that is expensive, time-consuming, hazardous in some cases, and can be limited by availability of equipment and personnel. In team training, the focus is on optimizing interactions, such as efficiency of communication, conflict resolution and prioritization, group situation awareness, resource distribution and load balancing, etc. This paper presents an agent-based approach to designing intelligent team training systems. We envision a computer-based training system in which teams are trained by putting them through scenarios, which allow them to practice their team skills. There are two important roles that intelligent agents can play; these are as virtual team members and as coach. To carry out these functions, these agents must be equipped with an understanding of the task domain, the team structure, the selected decision-making process and their belief about other team members' mental states.

[1]  Raymond J. Mooney,et al.  Using Theory Revision to Model Students and Acquire Stereotypical Errors , 1992 .

[2]  Van Berlo.  Systematic Development of Team Training: A Review of the Literature (Systematisch Ontwikkelen van Team Training: een Literatuurstudie). , 1996 .

[3]  J. Stoker,et al.  Advances in Interdisciplinary Studies of Work Teams , 1997 .

[4]  Milind Tambe,et al.  Towards Flexible Teamwork , 1997, J. Artif. Intell. Res..

[5]  Eduardo Salas,et al.  Making decisions under stress: Implications for individual and team training. , 1998 .

[6]  Candace L. Sidner,et al.  Using plan recognition in human-computer collaboration , 1999 .

[7]  John Yen,et al.  A knowledge-based approach for designing intelligent team training systems , 2000, AGENTS '00.

[8]  Stacy Marsella,et al.  An Instructor's Assistant for Team-Training in Dynamic Mulit-Agent Vitual Worlds , 1998, Intelligent Tutoring Systems.

[9]  Hector J. Levesque,et al.  On Acting Together , 1990, AAAI.

[10]  E. Salas,et al.  Introduction: The Study of Stress and Human Performance , 1996 .

[11]  Claude Frasson,et al.  Teaching and Learning with Intelligent Agents: Actors , 1998, Intelligent Tutoring Systems.

[12]  Etienne Wenger,et al.  Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge , 1987 .

[13]  Judith D. Wilson,et al.  Artificial Intelligence and Tutoring Systems , 1990 .

[14]  Sarit Kraus,et al.  Collaborative Plans for Complex Group Action , 1996, Artif. Intell..

[15]  Eric Horvitz,et al.  The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users , 1998, UAI.

[16]  E. Salas,et al.  Theoretical Bases for Team Self-correction: Fostering Shared Mental Models , 1997 .

[17]  Anand S. Rao,et al.  Modeling Rational Agents within a BDI-Architecture , 1997, KR.