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In this paper, we propose a multi-agent belief revision algorithm that utilizes knowledge about the reliability or trustworthiness (reputation) of information sources1. Incorporating reliability information into belief revision mechanisms is essential for agents in real world multi-agent systems. This research assumes the global truth is not available to individual agents and agents only maintain...
Online social networks often rely on reputation values to signal trustworthiness of a participant in the network. Reputation models have traditionally focused on scenarios where raters provide an absolute value rating to those they interact with. This paper investigates an alternate scenario, where a rater provides relative preference information among multiple alternatives, indicating which participant...
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