Data di Pubblicazione:
2013
Abstract:
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. © 2013 Springer-Verlag.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Elenco autori:
Bisdikian, C.; Tang, Y.; Cerutti, F.; Oren, N.
Link alla scheda completa:
Titolo del libro:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pubblicato in: