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Characteristic Analysis of Agents in Adaptive Consensus Formation Models

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Soft Computing as Transdisciplinary Science and Technology

Part of the book series: Advances in Soft Computing ((AINSC,volume 29))

Summary

The models of adaptive consensus formation are useful for obtaining harmonious consensus of a group when all members of the group pursue their individual rationality. In the process of consensus formation, the agents access to macro information and adapt their preferences to the overall group preference. In this paper, we propose and analyze some quantitative measures of the difference between the individual preferences and the agreed preference. Moreover, we introduce a model of the agents with the different speeds of adaption and analyze its effects to consensus formation by means of simulation.

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© 2005 Springer-Verlag Berlin Heidelberg

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Oumi, H., Mitamura, T., Kurihara, M., Oohori, T., Yoshikawa, T. (2005). Characteristic Analysis of Agents in Adaptive Consensus Formation Models. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_135

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  • DOI: https://doi.org/10.1007/3-540-32391-0_135

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25055-5

  • Online ISBN: 978-3-540-32391-4

  • eBook Packages: EngineeringEngineering (R0)

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