ISBN:

Abstract:

Information-based agents use tools from information theory to evalu-
ate their utterances and to build their world model. When embedded in a social
network these agents measure the strength of information flow in this sense. This
leads to a model of information-based reputation in which agents share opin-
ions, and observe the way in which their opinions effect the opinions of others. A
method is proposed that supports the deliberative process of combining opinions
into a group’s reputation. The reliability of agents as opinion givers are measured
in terms of the extent to which their opinions differ from that of the group repu-
tation. These reliability measures are used to form an a priori reputation estimate
given the individual opinions of a set of independent agents.

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