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Kinetic Description of Opinion Evolution in Multi-agent Systems: Analytic Model and Simulations

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PRIMA 2015: Principles and Practice of Multi-Agent Systems (PRIMA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9387))

Abstract

In this paper we consider multi-agent systems where interactions among agents are modeled using a kinetic approach. While kinetic theory aims at studying macroscopic properties of gases starting from microscopic interactions among molecules, we are interested in modeling the global behaviour of multi-agent systems on the basis of local interactions among pairs of agents. In particular, here we study the dynamics of opinion formation. Given a microscopic description of each single interaction, we derive stationary profiles for the global opinion. Analytic results are validated by simulations obtained by implementing the proposed theoretical model.

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Author information

Authors and Affiliations

  1. Dipartimento di Matematica e Informatica, Università Degli Studi di Parma, Parco Area Delle Scienze 53/A, 43124, Parma, Italy

    Stefania Monica & Federico Bergenti

Authors
  1. Stefania Monica
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  2. Federico Bergenti
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Corresponding author

Correspondence to Stefania Monica .

Editor information

Editors and Affiliations

  1. Jinan University, Guangzhou, China

    Qingliang Chen

  2. Università di Bologna, Bologna, Italy

    Paolo Torroni

  3. Inria - Sophia Antipolis-Méditerran, Sophia Antipolis, France

    Serena Villata

  4. National Taiwan University, Taipei, Taiwan

    Jane Hsu

  5. Università di Bologna, Bologna, Italy

    Andrea Omicini

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Monica, S., Bergenti, F. (2015). Kinetic Description of Opinion Evolution in Multi-agent Systems: Analytic Model and Simulations. In: Chen, Q., Torroni, P., Villata, S., Hsu, J., Omicini, A. (eds) PRIMA 2015: Principles and Practice of Multi-Agent Systems. PRIMA 2015. Lecture Notes in Computer Science(), vol 9387. Springer, Cham. https://doi.org/10.1007/978-3-319-25524-8_30

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  • DOI: https://doi.org/10.1007/978-3-319-25524-8_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25523-1

  • Online ISBN: 978-3-319-25524-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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