Title
Intelligent Agents As Synthetic Role Players In Scenario-Based Training
Abstract
Intelligent agents are increasingly being exploited as synthetic role players (e.g., teammates, coaches, and opponents) in scenario-based training (SBT). However, the introduction of intelligent agents into training applications comes with its share of challenges given the unique requirements of each role. In particular, the required level of intelligence depends on the requirements of a particular role. For example, agents performing as "extras" in a scene require little or no intelligence, whereas an in situ remediation agent requires the ability to diagnose student deficiencies relative to, for example, the school solution and provide appropriate instruction to remedy the deficiencies. To perform some functions, agents require an understanding of the problem domain; for others, they merely need to understand their own tasks. In some cases, agents need the ability to plan, whereas in other cases they merely need the ability to react. A pedagogical agent that typically interacts with the learner stands to benefit from having a human persona (an avatar) and an instructor-like personality. In light of the foregoing, the implementation of these agents for scenario-based training (SBT) can take a variety of forms and vary in their level of sophistication. This paper presents the various roles that intelligent agents can play in SBT to dramatically lower training costs without compromising training effectiveness.
Year
Venue
Keywords
2008
Transactions of the SDPS
synthetic role player,required level,scenario-based training,intelligent agent,synthetic role players,training effectiveness,training application,lower training cost,pedagogical agent,particular role,intelligent agents,various role
Field
DocType
Volume
Information system,Information flow (information theory),Intelligent agent,Command and control,Interoperability,Risk analysis (engineering),Context awareness,Network-centric warfare,Engineering,Decision-making,Management science
Journal
12
Issue
ISSN
Citations 
1
1092-0617
3
PageRank 
References 
Authors
0.55
2
2
Name
Order
Citations
PageRank
Azad M. Madni118834.57
Carla C. Madni2194.39