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Modelling Crew Assistants with Multi-Agent Systems in Fighter Aircraft

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Developments in Applied Artificial Intelligence (IEA/AIE 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2358))

Abstract

As advanced crew support technologies will be available more and more in future military aircraft, it is necessary to have a good understanding of the possibilities in this area, taking into account operational demands and technical possibilities. A Crew Assistant (CA) is a decision support system for air crew, designed to improve mission effectiveness and redistribute crew workload in such a way that the crew can concentrate on its prime tasks. Designing a complex system with multiple crew assistants can be tackled by using a multi-agent system design. In this paper we will propose a multi-agent system architecture for crew assistants.

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Author information

Authors and Affiliations

  1. National Aerospace Laboratory NLR, P.O. box 90502, 1006 BM, Amsterdam, The Netherlands

    Arjen Vollebregt, Daan Hannessen, Henk Hesselink & Jelle Beetstra

Authors
  1. Arjen Vollebregt
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  2. Daan Hannessen
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  3. Jelle Beetstra
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Editor information

Editors and Affiliations

  1. Centre for Intelligent Systems and Complex Processes, Swinburne University of Technology, John Street, Hawthorn, Victoria, Australia, 3122

    Tim Hendtlass

  2. Department of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666, USA

    Moonis Ali

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© 2002 Springer-Verlag Berlin Heidelberg

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Vollebregt, A., Hannessen, D., Hesselink, H., Beetstra, J. (2002). Modelling Crew Assistants with Multi-Agent Systems in Fighter Aircraft. In: Hendtlass, T., Ali, M. (eds) Developments in Applied Artificial Intelligence. IEA/AIE 2002. Lecture Notes in Computer Science(), vol 2358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48035-8_13

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  • DOI: https://doi.org/10.1007/3-540-48035-8_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43781-9

  • Online ISBN: 978-3-540-48035-8

  • eBook Packages: Springer Book Archive

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