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In this paper we present an approach for improving the accuracy of shared opinions in a large decentralised team. Specifically , our solution optimises the opinion sharing process in order to help the majority of agents to form the correct opinion about a state of a common subject of interest, given only few agents with noisy sensors in the large team. We(More)
In large decentralised teams agents often share uncertain and conflicting information across the network , and it is a major challenge for team members to reach accurate conclusions individually. Previously , this problem was approached by introducing a communication overhead in order to reason about the accuracy of information or to reach agreements(More)
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