An agent-based approach to developing intelligent virtualreality-based training systems
Fuhua Lin
Chuan-Jun Su
Tseng, M.M.
Calgary Univ., Alta.;
This paper appears in: Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on
Publication Date: 1999
On page(s): 253-260
Meeting Date: 11/09/1999 - 11/11/1999
Location: Chicago, IL, USA
ISSN: 1082-3409
ISBN: 0-7695-0456-6
References Cited: 38
INSPEC Accession Number: 6442051
Digital Object Identifier: 10.1109/TAI.1999.809795
Current Version Published: 2002-08-06
Abstract
This paper presents an agent-based approach to developing
intelligent virtual reality-based training systems. The architecture of
an intelligent virtual reality-based training system is modeled as five
collaborative agents: training task-planning agent, simulation agent,
performance evaluation agent, on-line instruction agent, and intelligent
interface agent. The behavioral and knowledge models of each agent type
and the mechanism of inter-agent interaction and coordination are
described. A Petri net-based specification approach that gives the work
formalism for effective modeling and implementation is elaborated.
Finally, a computerized numeric control (CNC) milling operation virtual
training prototype system is introduced to show the effectiveness of
this approach
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