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The Swarm-Like Update Scheme for Opinion Formation

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Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10449))

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Abstract

The question, how to describe the individual’s position concerning some particular issue and especially the factors influencing its change is the topis of different studies for tens of years. The dynamics of opinions change is usually adopted from ideas related to the physical description of magnetism including especially some form of interaction between spins. In our paper we are going to propose the scheme based on formulation of popular global optimization mechanism - the Particle Swarm Optimization. We consider our proposition as some form of comeback to the roots, since PSO is based on the analysis of behavior of flocks of animals. We present the background of the model and some comparisons with earlier studied approaches.

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Authors and Affiliations

  1. Department of Solid State Physics, University of Łódź, Pomorska 149/153, 90-236, Łódź, Poland

    Tomasz M. Gwizdałła

Authors
  1. Tomasz M. Gwizdałła
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Correspondence to Tomasz M. Gwizdałła .

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Editors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    George A. Papadopoulos

  3. Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Piotr Jędrzejowicz

  4. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

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Gwizdałła, T.M. (2017). The Swarm-Like Update Scheme for Opinion Formation. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10449. Springer, Cham. https://doi.org/10.1007/978-3-319-67077-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-67077-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67076-8

  • Online ISBN: 978-3-319-67077-5

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