Evidence Propagation and Consensus Formation in Noisy Environments

13 May 2019Michael CrosscombeJonathan LawryPalina Bartashevich

We study the effectiveness of consensus formation in multi-agent systems where there is both belief updating based on direct evidence and also belief combination between agents. In particular, we consider the scenario in which a population of agents collaborate on the best-of-n problem where the aim is to reach a consensus about which is the best (alternatively, true) state from amongst a set of states, each with a different quality value (or level of evidence)... (read more)

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