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Comparing Measures of Agreement for Agent Attitudes

  • Conference paper
Intelligent Data Engineering and Automated Learning – IDEAL 2004 (IDEAL 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3177))

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Abstract

A model for the interaction of three agents is presented in which each agent has three personality parameters; tolerance, volatility and stubbornness. A pair of agents interact and evolve their attitudes to each other as a function of how well they agree in their attitude towards the third agent in the group. The effects of using two different measures of agreement are compared and contrasted and it is found that although the measures used have quite different motivations and formulations, there are striking similarities between the overall results which they produce.

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Author information

Authors and Affiliations

  1. School of Computing and Mathematics, University of Ulster, Newtownabbey, Co. Antrim, UK, BT37 0QB

    Mark McCartney & David H. Glass

Authors
  1. Mark McCartney
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  2. David H. Glass
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Editor information

Editors and Affiliations

  1. School of Engineering, Computing, and Mathematics, University of Exeter, EX4 4QF, Exeter, UK

    Zheng Rong Yang

  2. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  3. School of Engineering, Computer Science and Mathematics, University of Exeter, EX4 4QF, UK

    Richard M. Everson

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© 2004 Springer-Verlag Berlin Heidelberg

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McCartney, M., Glass, D.H. (2004). Comparing Measures of Agreement for Agent Attitudes. In: Yang, Z.R., Yin, H., Everson, R.M. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2004. IDEAL 2004. Lecture Notes in Computer Science, vol 3177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28651-6_122

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  • DOI: https://doi.org/10.1007/978-3-540-28651-6_122

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22881-3

  • Online ISBN: 978-3-540-28651-6

  • eBook Packages: Springer Book Archive

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