Training teams with collaborative agents

Michael S. Miller, Jianwen Yin, Richard A. Volz, Thomas R. Ioerger, John Yen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 5th International Conference, ITS 2000, Proceedings
EditorsGilles Gauthier, Claude Frasson, Kurt VanLehn
PublisherSpringer Verlag
Number of pages10
ISBN (Print)3540676554
StatePublished - 2000
Event5th International Conference on Intelligent Tutoring Systems, ITS 2000 - Montreal, Canada
Duration: Jun 19 2000Jun 23 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other5th International Conference on Intelligent Tutoring Systems, ITS 2000

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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