Reasoning about the Impacts of Information Sharing
  In this paper we describe a decision process framework allowing an agent to
decide what information it should reveal to its neighbours within a
communication graph in order to maximise its utility. We assume that these
neighbours can pass information onto others within the graph. The inferences
made by agents receiving the messages can have a positive or negative impact on
the information providing agent, and our decision process seeks to identify how
a message should be modified in order to be most beneficial to the information
producer. Our decision process is based on the provider's subjective beliefs
about others in the system, and therefore makes extensive use of the notion of
trust. Our core contributions are therefore the construction of a model of
information propagation; the description of the agent's decision procedure; and
an analysis of some of its properties.
