Modeling and Analyzing Multi-agent Task Plans for Intelligent Virtual Training System using Petri Nets

Author

Cai, Linqin ; Mei, Tao ; Sun, Yining ; Sun, Lei ; Ma, Zuchang

Author_Institution

Center for Biomimetic Sensing & Control Res., Chinese Acad. of Sci.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

4766

Lastpage

4770

Abstract

Integrated virtual reality with intelligent tutoring system, a multi-agent architecture was proposed for intelligent virtual training system (IVTS) for mine safety training. In order to make sure IVTS agent´s task plans reliable and adaptive, a Petri nets-based declarative method was applied to model the virtual training task planning knowledge, which was represented as task planning knowledge Petri nets (TP-PNets), and an algorithm was implemented to construct TP-PNets. Then, hierarchy colored Petri nets (HCPN) was used to model multi-agent task planning behaviors for IVTS, and simulation and message sequence chart was used to analyze and verify the agent task planning HCPN model

Keywords

Petri nets; computer based training; intelligent tutoring systems; knowledge representation; multi-agent systems; occupational safety; planning (artificial intelligence); virtual reality; Petri net-based declarative method; hierarchy colored Petri nets; intelligent tutoring system; intelligent virtual training system; mine safety training; multiagent architecture; multiagent task plans; task planning knowledge Petri nets; virtual reality; virtual training task planning knowledge; Automatic control; Biomimetics; Computer architecture; Control systems; Intelligent systems; Machine intelligence; Petri nets; Railway safety; Sun; Virtual reality; Multi-agent task plan; colored petri nets; intelligent virtual training system; mine safety;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713288

Filename

1713288