Abstract
Recently [1] we have proposed the scheme of performing the opinion formation simulation based on popular global optimization mechanism - the Particle Swarm Optimization. The basic idea was to use the interaction between two potential directions of agents’ heading: those forced by the global opinion and those forced by the opinion of neighbors/colleagues. In the proposed paper some enhancement of the proposed model is shown. We assume that, when performing the binary PSO-like update of system, we use the generalized version of logistic function. The results are promising in the sense that the introduced change increases explicitly the number of possible solutions.
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Gwizdałła, T.M. (2018). The Role of Mapping Curve in Swarm-Like Opinion Formation. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11055. Springer, Cham. https://doi.org/10.1007/978-3-319-98443-8_15
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DOI: https://doi.org/10.1007/978-3-319-98443-8_15
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