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An Approach to Resolving Semantic Conflicts of Temporally-Vague Observations in Artificial Cognitive Agent

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4253))

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Abstract

A population of artificial cognitive agents is studied, where agents gather their individual knowledge in strictly private knowledge bases. In this paper we present an approach which integrates the autonomously obtained temporally-vague observations forming the global system perspective of the observed reality. This global system view is then extended in order to reach highest possible consistency. An effective and simple procedure for extending consensus obtained observations is proposed and discussed.

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Author information

Authors and Affiliations

  1. Institute of Information Science and Engineering, Wrocław University of Technology, 50-370, Wrocław, Janiszewskiego 11/17, Poland

    Wojciech Lorkiewicz

Authors
  1. Wojciech Lorkiewicz
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Lorkiewicz, W. (2006). An Approach to Resolving Semantic Conflicts of Temporally-Vague Observations in Artificial Cognitive Agent. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_127

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  • DOI: https://doi.org/10.1007/11893011_127

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46542-3

  • Online ISBN: 978-3-540-46544-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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