References

  1. Luca de Alfaro, Rupak Majumdar, Vishwanath Raman & Marielle Stoelinga (2007): Game Relations and Metrics. In: LICS '07. IEEE Computer Society, pp. 99–108, doi:10.1109/LICS.2007.22.
  2. Christel Baier (1996): Polynomial Time Algorithms for Testing Probabilistic Bisimulation and Simulation. In: CAV'96, LNCS 1102, pp. 38–49, doi:10.1007/3-540-61474-5_57.
  3. Franck van Breugel, Babita Sharma & James Worrell (2007): Approximating a Behavioural Pseudometric Without Discount for Probabilistic Systems.. In: FOSSACS, LNCS 4423. Springer, pp. 123–137, doi:10.1007/978-3-540-71389-0_10.
  4. Franck van Breugel & James Worrell (2001): An Algorithm for Quantitative Verification of Probabilistic Transition Systems. In: CONCUR '01. Springer-Verlag, pp. 336–350, doi:10.1007/3-540-44685-0_23.
  5. Franck van Breugel & James Worrell (2004): A behavioural pseudometric for probabilistic transition systems. Theor. Comput. Sci. 331(1), pp. 115–142, doi:10.1007/3-540-48224-5_35.
  6. Stefano Cattani & Roberto Segala (2002): Decision Algorithms for Probabilistic Bisimulation. In: CONCUR '02. Springer-Verlag, pp. 371–385, doi:10.1007/3-540-45694-5_25.
  7. Stefano Cattani, Roberto Segala, Marta Kwiatkowska & Gethin Norman (2005): Stochastic transition systems for continuous state spaces and non-determinism. In: FOSSACS'05, LNCS 3441. Springer Verlag, pp. 125–139, doi:10.1007/978-3-540-31982-5_8.
  8. K. Chatterjee, Luca de Alfaro, Rupak Majumdar & Vishwanath Raman (2010, to appear.): Algorithms for game metrics. LMCS: Logical Methods in Computer Science, doi:10.2168/LMCS-6(3:13)2010.
  9. Pedro R. D'Argenio, Nicolás Wolovick, Pedro Sánchez Terraf & Pablo Celayes (2009): Nondeterministic labeled Markov processes: bisimulations and logical characterization. QEST'09, pp. 11–20, doi:10.1109/QEST.2009.17.
  10. Josée Desharnais, Abbas Edalat & Prakash Panangaden (2002): Bisimulation for Labeled Markov Processes. Information and Computation 179(2), pp. 163–193, doi:10.1.1.16.5653.
  11. Josée Desharnais, Vineet Gupta, R. Jagadeesan & P. Panangaden (1999): Metrics for Labeled Markov Processes. In: CONCUR'99, LNCS. Springer-Verlag, pp. 258–273, doi:10.1007/3-540-48320-9_19.
  12. Josée Desharnais, François Laviolette & Mathieu Tracol (2008): Approximate analysis of probabilistic processes: logic, simulation and games. In: QEST'08. IEEE Computer Society, pp. 264–273, doi:10.1109/QEST.2008.42.
  13. Josée Desharnais, François Laviolette & Sami Zhioua (2006): Testing Probabilistic Equivalence Through Reinforcement Learning. In: FSTTCS'06, LNCS 4337. Springer, pp. 236–247, doi:10.1007/11944836_23.
  14. Norm Ferns, Prakash Panangaden & Doina Precup (2004): Metrics for finite Markov decision processes. In: UAI'04. AUAI Press Arlington, Virginia, United States, pp. 162–169, doi:10.1.1.87.9485.
  15. Norman Ferns, Prakash Panangaden & Doina Precup (2005): Metrics for Markov Decision Processes with Infinite State Spaces. In: UAI'05. AUAI Press, pp. 201, doi:10.1007/BF01908587.
  16. Michael R. Garey & David S. Johnson (1979): Computers and Intractability: A Guide to the Theory of NP-completeness. W. H. Freeman & Co., New York, NY, USA.
  17. Alessandro Giacalone, Chi-Chang Jou & Scott A. Smolka (1990): Algebraic Reasoning for Probabilistic Concurrent Systems. In: Proc. IFIP TC2 Working Conference on Programming Concepts and Methods. North-Holland, pp. 443–458, doi:10.1.1.56.3664.
  18. Holger Hermanns (2002): Interactive Markov chains, and the quest for quantified quality. Springer-Verlag, Berlin, Heidelberg, doi:10.1007/3-540-45804-2.
  19. Kim G. Larsen & Arne Skou (1991): Bisimulation through Probablistic Testing. Information and Computation 94, pp. 1–28, doi:10.1.1.158.9316.
  20. Augusto Parma & Roberto Segala (2007): Logical characterisation of Bisimulations for Discrete Probabilistic Systems. In: FOSSACS'07, LNCS 4423. Springer-Verlag, pp. 287–301, doi:10.1007/978-3-540-71389-0_21.
  21. Martin L. Puterman (1994): Markov Decision Processes: Discrete Stochastic Dynamic Programming. Wiley.
  22. Roberto Segala & Nancy Lynch (1994): Probabilistic Simulations for Probabilistic Processes. In: CONCUR'94, LNCS 836. Springer-Verlag, pp. 481–496, doi:10.1007/BFb0015027.
  23. Roberto Segala & Andrea Turrini (2007): Approximated Computationally Bounded Simulation Relations for Probabilistic Automata. In: CSF'07, pp. 140–156, doi:10.1007/3-540-45694-5_25.
  24. Lijun Zhang, Holger Hermanns, Friedrich. Eisenbrand & David N. Jansen (2007): Flow faster: efficient decision algorithms for probabilistic simulations. In: TACAS'07, LNCS 4424. Springer-Verlag, pp. 155–169, doi:10.1007/978-3-540-71209-1_14.

Comments and questions to: eptcs@eptcs.org
For website issues: webmaster@eptcs.org