Non-Bayesian social learning with observation reuse and soft switching

• المؤلفون الرئيسيون: Md. Zulfiquar Ali Bhotto, Tay, Wee Peng
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2019
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering; Non-Bayesian Social Learning; Misinforming Agent
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/102641; http://hdl.handle.net/10220/48151

We propose a non-Bayesian social learning update rule for agents in a network, which minimizes the sum of the Kullback-Leibler divergence between the true distribution generating the agents’ local observations and the agents’ beliefs (parameterized by a hypothesis set), and a weighted varentropy-rel...