A Spectrum of Behavioral Relations over LTSs on Probability Distributions

Probabilistic nondeterministic processes are commonly modeled as probabilistic LTSs (PLTSs, a.k.a. probabilistic automata). A number of logical characterizations of the main behavioral relations on PLTSs have been studied. In particular, Parma and Segala [2007] define a probabilistic Hennessy-Milner logic interpreted over distributions, whose logical equivalence/preorder when restricted to Dirac distributions coincide with standard bisimulation/simulation between the states of a PLTS. This result is here extended by studying the full logical equivalence/preorder between distributions in terms of a notion of bisimulation/simulation defined on a LTS of probability distributions (DLTS). We show that the standard spectrum of behavioral relations on nonprobabilistic LTSs as well as its logical characterization in terms of Hennessy-Milner logic scales to the probabilistic setting when considering DLTSs.

• Type: Journal
• Year: 2011
• Where: CONCUR
• Authors: Silvia Crafa, Francesco Ranzato
• Keywords: CONCUR 2011, Distributed And Parallel Computing, Logical Characterization, Logical Equivalence, Probabilistic Automata