The Role of Mapping Curve in Swarm-Like Opinion Formation

Abstract

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.