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A Socially Supported Knowledge-Belief System and Its Application to a Dialogue Parser

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

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Abstract

This paper proposes a dynamically-managed knowledge-belief system which can represent continuously-changing beliefs about the world. Each belief in the system has a component reflecting the strength of support from other agents. The system is capable of adapting to a contextual situation due to the continuous revision of belief strengths through interaction with others. As a paradigmatic application of the proposed socially supported knowledge-belief system, a dialogue parser was designed and implemented in Common Lisp CLOS. The parser equipped with a belief management system outputs (a) speaker intention, (b) conveyed meaning, and (c) hearer emotion. Implications of our treatment of intention, meaning, and affective content within an integrated framework are discussed.

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Author information

Authors and Affiliations

  1. Department of Value and Decision Science, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo, Japan, 152-8552

    Naoko Matsumoto & Akifumi Tokosumi

Authors
  1. Naoko Matsumoto
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  2. Akifumi Tokosumi
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, United Kingdom

    Vasile Palade

  2. Intelligent Systems and Signal Processing Labs, Moulsecoomb, University of Brighton, BN2 4GJ, Brighton, United Kingdom

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, Mawson Lakes, University of South Australia, 5095, Adelaide, SA, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Matsumoto, N., Tokosumi, A. (2003). A Socially Supported Knowledge-Belief System and Its Application to a Dialogue Parser. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_105

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_105

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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