Abstract
We introduce a version of the probabilistic mu-calculus (PMC) built on top of a probabilistic modal logic that allows encoding n-ary inequational conditions on transition probabilities. PMC extends previously studied calculi and we prove that, despite its expressiveness, it enjoys a series of good meta-properties. Firstly, we prove the decidability of satisfiability checking by establishing the small model property. An algorithm for deciding the satisfiability problem is developed. As a second major result, we provide a complete axiomatization for the alternation-free fragment of PMC. The completeness proof is innovative in many aspects combining various techniques from topology and model theory.
| Original language | English |
|---|---|
| Title of host publication | Proceedings 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2016 |
| Editors | Akash Lal, S. Akshay, Saket Saurabh, Sandeep Sen, Saket Saurabh |
| Publisher | Schloss Dagstuhl – Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing |
| Pages | 25.1-25.18 |
| Number of pages | 18 |
| Volume | 65 |
| ISBN (Electronic) | 9783959770279 |
| DOIs | |
| Publication status | Published - 1 Dec 2016 |
| Event | 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2016 - Chennai, India Duration: 13 Dec 2016 → 15 Dec 2016 |
Conference
| Conference | 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2016 |
|---|---|
| Country/Territory | India |
| City | Chennai |
| Period | 13/12/16 → 15/12/16 |
Keywords
- axiomatization
- Markov process
- n-ary (in-)equational modalities
- probabilistic modal μ-calculus
- satisfiability
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