A logic-based theory of deductive arguments
Artificial Intelligence
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In any group of agents, trust plays an important role. The degree to which agents trust one another will inform what they believe, and, as a result the reasoning that they perform and the conclusions that they come to when that involves information from other agents. In this paper we consider a group of agents with varying degrees of trust of each other, and examine the combinations of trust with the argumentation-based reasoning that they can carry out. The question we seek to answer is "What is the relationship between the trust one agent has in another and the conclusions that it can draw using information from that agent?", and show that there are a range of answers depending upon the way that the agents deal with trust.