The Role of Mapping Curve in Swarm-Like Opinion Formation

Recently, [T. M. Gwizdałła, The swarm-like update scheme for opinion formation, in Computational Collective Intelligence, eds. N. T. Nguyen, G. A. Papadopoulos, P. Jedrzejowciz, B. Trawinski and G. Vossen (Springer International Publishing, Cham, 2017), pp. 66–75.] we have proposed the scheme of per...

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Bibliographic Details
Main Author: Tomasz M. Gwizdałła
Format: Article
Language:English
Published: World Scientific Publishing 2020-08-01
Series:Vietnam Journal of Computer Science
Subjects:
Online Access:http://www.worldscientific.com/doi/pdf/10.1142/S2196888820500189
Description
Summary:Recently, [T. M. Gwizdałła, The swarm-like update scheme for opinion formation, in Computational Collective Intelligence, eds. N. T. Nguyen, G. A. Papadopoulos, P. Jedrzejowciz, B. Trawinski and G. Vossen (Springer International Publishing, Cham, 2017), pp. 66–75.] we have proposed the scheme of performing the opinion formation simulation based on popular global optimization mechanism — the Particle Swarm Optimization (PSO). 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.
ISSN:2196-8888
2196-8896