Consensus Analysis Of A Long-Range Opinion Model With A Small Confidence Bound
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017)(2017)
Abstract
In this paper, we propose a bounded-confidence opinion model and focus on the study of the opinion consensus probability based on long-range opinion interactions. In this model, each agent updates its opinion using some agents' opinion values according to its confidence bound. We provide a lower bound of the opinion consensus probability when the confidence bound is sufficiently small. Also, we give discussion and simulation examples for the opinion evolution along with some adjustable parameters.
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Key words
opinion dynamics, consensus probability, confidence bound, long-range interaction
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