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The Swarm-Like Update Scheme for Opinion Formation

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

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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Correspondence to Tomasz M. Gwizdałła .

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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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