Assume we have a network of discrete-time Markov decision processes (MDPs) which synchronize via common actions. We investigate how to compute probability measures in case the structure of some of the component MDPs (so-called blackbox MDPs) is not known. We then extend this computation to work on networks of MDPs that share integer data variables of finite domain. We use a protocol which spreads information within a network as a case study to show the feasibility and effectiveness of our approach.
|Title of host publication||9th IEEE/ACM International Conference on Formal Methods and Models for Codesign, MEMOCODE 2011, Cambridge, UK, 11-13 July, 2011|
|Number of pages||10|
|Publication status||Published - 2011|