Skip to main content

Why Is Simulation Harder than Bisimulation?

  • Conference paper
  • First Online:
Book cover CONCUR 2002 — Concurrency Theory (CONCUR 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2421))

Included in the following conference series:

Abstract

Why is deciding simulation preorder (and simulation equivalence) computationally harder than deciding bisimulation equivalence on almost all known classes of processes? We try to answer this question by describing two general methods that can be used to construct direct one-to-one polynomial-time reductions from bisimulation equivalence to simulation preorder (and simulation equivalence). These methods can be applied to many classes of finitely generated transition systems, provided that they satisfy certain abstractly formulated conditions. Roughly speaking, our first method works for all classes of systems that can test for ‘non-enabledness’ of actions, while our second method works for all classes of systems that are closed under synchronization.

Supported by the Grant Agency of the Czech Republic, grant No. 201/00/0400.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. P. A. Abdulla and B. Jonsson. Verifying programs with unreliable channels. In Proceedings of LICS’93, pages 160–170. IEEE Computer Society Press, 1993.

    Google Scholar 

  2. J. Balcázar, J. Gabarró, and M. Sántha. Deciding bisimilarity is P-complete. Formal Aspects of Computing, 4(6A):638–648, 1992.

    Article  MATH  Google Scholar 

  3. J. A. Bergstra and J. W. Klop. Algebra of communicating processes with abstraction. Theoretical Computer Science, 37:77–121, 1985.

    Article  MATH  MathSciNet  Google Scholar 

  4. A. Bouajjani and R. Mayr. Model-checking lossy vector addition systems. In Proceedings of STACS’99, volume 1563 of LNCS, pages 323–333. Springer, 1999.

    Google Scholar 

  5. S. Christensen. Decidability and Decomposition in Process Algebras. PhD thesis, The University of Edinburgh, 1993.

    Google Scholar 

  6. P. Jančar, A. Kučera, and F. Moller. Simulation and bisimulation over onecounter processes. In Proceedings of STACS 2000, volume 1770 of LNCS, pages 334–345. Springer, 2000.

    Google Scholar 

  7. A. Kučera and R. Mayr. On the complexity of semantic equivalences for pushdown automata and BPA. In Proceedings of MFCS2002, LNCS. Springer, 2002. To appear.

    Google Scholar 

  8. A. Kučera and R. Mayr. Simulation preorder over simple process algebras. Information and Computation, 173(2):184–198, 2002.

    Article  MathSciNet  MATH  Google Scholar 

  9. R. Mayr. On the complexity of bisimulation problems for pushdown automata. In Proceedings of IFIP TCS’2000, volume 1872 of LNCS, pages 474–488. Springer, 2000.

    Google Scholar 

  10. F. Moller. Infinite results. In Proceedings of CONCUR’96, volume 1119 of LNCS, pages 195–216. Springer, 1996.

    Google Scholar 

  11. J. L. Peterson. Petri Net Theory and the Modelling of Systems. Prentice-Hall, 1981.

    Google Scholar 

  12. Z. Sawa and P. Jančar. P-hardness of equivalence testing on finite-state processes. In Proceedings of SOFSEM’2001, volume 2234 of LNCS, pages 326–335. Springer, 2001.

    Google Scholar 

  13. C. Stirling. The joys of bisimulation. In Proceedings of MFCS’98, volume 1450 of LNCS, pages 142–151. Springer, 1998.

    Google Scholar 

  14. W. Thomas. On the Ehrenfeucht-Fraïssé game in theoretical computer science. In Proceedings of TAPSOFT’93, volume 668 of LNCS, pages 559–568. Springer, 1993.

    Google Scholar 

  15. R. van Glabbeek. The linear time-branching time spectrum. Handbook of Process Algebra, pages 3–99, 1999.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kučera, A., Mayr, R. (2002). Why Is Simulation Harder than Bisimulation?. In: Brim, L., Křetínský, M., Kučera, A., Jančar, P. (eds) CONCUR 2002 — Concurrency Theory. CONCUR 2002. Lecture Notes in Computer Science, vol 2421. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45694-5_39

Download citation

  • DOI: https://doi.org/10.1007/3-540-45694-5_39

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44043-7

  • Online ISBN: 978-3-540-45694-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics