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A Multi-Agent System Based Approach to Intelligent Process Automation Systems

  • Conference paper
Principles of Practice in Multi-Agent Systems (PRIMA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5925))

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Abstract

A more promising technology to integrate existing software systems and their functionalities and to add assistant systems for the shop floors is to be found in software agents. Concerning with the applications of agent technology to intelligent process automation systems, a flexible and extensible approach based on multi-agent system (MAS) and distributed planning technique to reach for increased flexibility and fault-tolerance in process monitoring and control operations is proposed. The monitoring operations are aimed at combining information from different sources depending on the monitoring tasks. The control operations are supervisory control tasks performing either in both sequential and iterative forms. The agent layer is used for monitoring the operations of the lower-level automation systems and reconfiguring its control logic. It operates as a distributed planning and plan execution system to increase the operational flexibility of the whole process automation systems. The software architecture and its functionalities and components for the implementation of the proposed approach are also presented. The design strategy and the discussion on the proposed approach are provided.

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Author information

Authors and Affiliations

  1. School of Computer Engineering and Information Technology, University of Ulsan, San-29, Moogu-2 dong, Namgu, Ulsan, 680-749, South Korea

    Vu Van Tan & Myeong-Jae Yi

Authors
  1. Vu Van Tan
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  2. Myeong-Jae Yi
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Editor information

Editors and Affiliations

  1. School of Computer Science and Information Engineering, The Catholic University of Korea, Bucheon, South Korea

    Jung-Jin Yang

  2. Faculty of Information Science and Electrical Engineering, Department of Informatics, Kyushu University, 744 Motooka, Nishi-ku, 819-0395, Fukuoka, Japan

    Makoto Yokoo

  3. School of Techno-Business Administration, Dept. of Computer Science, Nagoya Institute of Technology, Gokiso, Showa-ku, 466-8555, Nagoya, Japan

    Takayuki Ito

  4. School of Electronic Engineering and Computer Science, Peking University, No. 5 Yiheyuan Road, 100871, Beijing, China

    Zhi Jin

  5. Robotics Institute, Carnegie Mellon University, 5000 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Paul Scerri

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© 2009 Springer-Verlag Berlin Heidelberg

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Van Tan, V., Yi, MJ. (2009). A Multi-Agent System Based Approach to Intelligent Process Automation Systems. In: Yang, JJ., Yokoo, M., Ito, T., Jin, Z., Scerri, P. (eds) Principles of Practice in Multi-Agent Systems. PRIMA 2009. Lecture Notes in Computer Science(), vol 5925. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11161-7_30

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  • DOI: https://doi.org/10.1007/978-3-642-11161-7_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11160-0

  • Online ISBN: 978-3-642-11161-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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