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原文連結
論文資訊
- 類型：已發表論文
- 日期：2021
摘要
We investigate an averaging process that describes how interacting 智能體s approach consensus through binary interactions. In each elementary step, two 智能體s are selected at random and they reach compromise by adopting their opinion average. We show that the fraction of 智能體s with a monotonically decreasing opinion decays as e−αt, and that the exponent α = 1/2 − 1+ln ln 2/4 ln 2 Is selected as the extremum from a continuous spectrum of possible values. The opinion distribution of monotonic 智能體s is asymmetric, and it becomes self-similar at large times. Furthermore, the tails of the opinion distribution are algebraic, and they are characterized by two distinct and nontrivial exponents. We also explore 統計 properties of 智能體s with an opinion strictly above average.
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