Teamwork is crucial to many disciplines, from activities such as organized sports to
economic and military organizations. Team training is difficult and as yet there are few
automated tools to assist in the training task. As with the training of individuals,
effective training depends upon practice and proper training protocols.
In this research, we defined a team training framework for constructing team
training systems in domains involving command and control teams. This team training
framework provides an underlying model of teamwork and programming interfaces to
provide services that ease the construction of team training systems. Also, the
framework enables experimentation with training protocols and coaching to be
conducted more readily, as team training systems incorporating new protocols or
coaching capabilities can be more easily built.
For this framework (called CAST-ITT) we developed an underlying intelligent
agent architecture known as CAST (Collaborative Agents Simulating Teamwork).
CAST provides the underlying model of teamwork and agents to simulate virtual team
members. CAST-ITT (Intelligent Team Trainer) uses CAST to also monitor trainees,
and support performance assessment and coaching for the purposes of evaluating the performance of a trainee as a member of a team. CAST includes a language for
describing teamwork called MALLET (Multi-Agent Logic Language for Encoding
Teamwork). MALLET allows us to codify the behaviors of team members (both as
virtual agents and as trainees) for use by CAST.
In demonstrating CAST-ITT through an implemented team training system
called TWP-DDD we have shown that a team training system can be built that uses the
framework (CAST-ITT) and has good performance and can be used for achieving real
world training objectives.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-1760 |
| Date | 02 June 2009 |
| Creators | Miller, Michael Scott |
| Contributors | Volz, Richard A. |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | electronic, application/pdf, born digital |
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