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, and that the communicating agent gains and loses utility based on the information which can be inferred by specific agents following the original communicative act. To this end, we construct an initial model of information propagation and describe an optimal decision procedure for the agent.
|Title of host publication
|Subtitle of host publication
|Second International Conference, AT 2013, Proceedings
|Carlos Iván Chesñevar, Eva Onaindia, Sascha Ossowski, George Vouros
|Number of pages
|Published - 2013
|2nd International Conference on Agreement Technologies, AT 2013 - Beijing, China
Duration: 1 Aug 2013 → 2 Aug 2013
|Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
|2nd International Conference on Agreement Technologies, AT 2013
|1/08/13 → 2/08/13
Bibliographical noteAcknowledgements: The authors thank the anonymous reviewers for their helpful comments.
Research was sponsored by US Army Research laboratory and the UK Ministry of
Defence and was accomplished under Agreement Number W911NF-06-3-0001. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the US Army Research Laboratory, the U.S. Government, the UK Ministry of Defense, or the UK Government. The US and UK Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon.