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Application of Distributed Artificial Intelligence in Network Teaching

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Lecture Notes in Real-Time Intelligent Systems (RTIS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 613))

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Abstract

With the rapid development of modern education, the current school teaching model needs to be improved and perfected to meet the needs of modern teaching. In order to improve the quality and efficiency of network teaching, it is an effective way to adopt the distributed intelligent network teaching system. In this paper, based on the definition and classification of distributed artificial intelligence (DAI), the network teaching system based on intelligent Agent technology was introduced, and the distributed artificial intelligence was applied in the intelligent network teaching platform of Distance Education and the corresponding fuzzy transform model combining with multi-agent system (MAS) and mathematical theory was established, and a network teaching system based on Agent technology was constructed. Finally, a university was taken as a study case, the evaluation of the effectiveness of network teaching based on distributed artificial intelligence technology was analyzed and studied, and by comparing the traditional teaching system with the effects of teaching evaluation of the DAI network teaching system, it can be found that the network teaching system can be optimized by the distributed intelligent technology, so DAI technology has an important role in the network teaching system.

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Authors and Affiliations

  1. School of Journalism and Communication, Nanyang Normal University, Nanyang, 473061, Henan, China

    Song-Ling Dong

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  1. Song-Ling Dong
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Correspondence to Song-Ling Dong .

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Editors and Affiliations

  1. Institute of Mathematics and Computer Science, Opole University , Opole, Opolskie, Poland

    Jolanta Mizera-Pietraszko

  2. Digital Information Research Foundation , Chennai, Tamil Nadu, India

    Pit Pichappan

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Dong, SL. (2018). Application of Distributed Artificial Intelligence in Network Teaching. In: Mizera-Pietraszko, J., Pichappan, P. (eds) Lecture Notes in Real-Time Intelligent Systems. RTIS 2016. Advances in Intelligent Systems and Computing, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-60744-3_37

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  • DOI: https://doi.org/10.1007/978-3-319-60744-3_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60743-6

  • Online ISBN: 978-3-319-60744-3

  • eBook Packages: EngineeringEngineering (R0)

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