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Reachability analysis for incomplete networks of Markov decision processes

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4 Author(s)
Wimmer, R. ; Albert-Ludwigs-Univ. Freiburg, Freiburg, Germany ; Hahn, E.M. ; Hermanns, H. ; Becker, B.

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.

Published in:

Formal Methods and Models for Codesign (MEMOCODE), 2011 9th IEEE/ACM International Conference on

Date of Conference:

11-13 July 2011