Designing multiagent-based education systems for navigation training

Chunsheng Yang; Hong Lin; Fuhua Oscar Lin

doi:10.1109/COGINF.2006.365536

Designing multiagent-based education systems for navigation training

Chunsheng Yang, Hong Lin, Fuhua Oscar Lin

Research output: Contribution to conference › Paper › peer-review

5 Citations (Scopus)

Abstract

This paper describes how to design a multiagent-based education system for navigation training. The paper addresses several important issues in designing multiagent e-education systems, including the infrastructure for multiagent systems, the multiagent system specification using a chemical reaction metaphor, and the knowledge-based decision-making support for intelligent agents. The presented approach for designing multiagent-based systems is not only useful for education systems but also for other multiagent-based applications such as multi-robotic systems.

Original language	English
Pages	495-501
Number of pages	7
DOIs	https://doi.org/10.1109/COGINF.2006.365536
Publication status	Published - 2006
Event	5th IEEE International Conference on Cognitive Informatics, ICCI 2006 - Beijing, China Duration: 17 Jul. 2006 → 19 Jul. 2006

Conference

Conference	5th IEEE International Conference on Cognitive Informatics, ICCI 2006
Country/Territory	China
City	Beijing
Period	17/07/06 → 19/07/06

Keywords

Decisionmaking support
Education systems
Intelligent agent
Multiagent systems

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10.1109/COGINF.2006.365536

Cite this

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abstract = "This paper describes how to design a multiagent-based education system for navigation training. The paper addresses several important issues in designing multiagent e-education systems, including the infrastructure for multiagent systems, the multiagent system specification using a chemical reaction metaphor, and the knowledge-based decision-making support for intelligent agents. The presented approach for designing multiagent-based systems is not only useful for education systems but also for other multiagent-based applications such as multi-robotic systems.",

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AB - This paper describes how to design a multiagent-based education system for navigation training. The paper addresses several important issues in designing multiagent e-education systems, including the infrastructure for multiagent systems, the multiagent system specification using a chemical reaction metaphor, and the knowledge-based decision-making support for intelligent agents. The presented approach for designing multiagent-based systems is not only useful for education systems but also for other multiagent-based applications such as multi-robotic systems.

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KW - Intelligent agent

KW - Multiagent systems

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Designing multiagent-based education systems for navigation training

Abstract

Conference

Keywords

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