Skip to main content

Strong Cyclic Planning Revisited

  • Conference paper
Recent Advances in AI Planning (ECP 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1809))

Included in the following conference series:

Abstract

Several realistic non-deterministic planning domains require plans that encode iterative trial-and-error strategies, e.g., “pick up a block until succeed”. In such domains, a certain effect (e.g., action success) might never be guaranteed a priori of execution and, in principle, iterative plans might loop forever. Here, the planner should generate iterative plans whose executions always have a possibility of terminating and, when they do, they are guaranteed to achieve the goal. In this paper, we define the notion of strong cyclic plan, which formalizes in temporal logic the above informal requirements for iterative plans, define a planning algorithm based on model-checking techniques, and prove that the algorithm is guaranteed to return strong cyclic plans when they exist or to terminate with failure when they do not. We show how this approach can be extended to formalize plans that are guaranteed to achieve the goal and do not involve iterations (strong plans) and plans that have a possibility (but are not guaranteed) to achieve the goal (weak plans). The results presented in this paper constitute a formal account for “planning via model checking” in non-deterministic domains, which has never been provided before.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Asarin, E., Maler, O., Pnueli, A.: Symbolic controller synthesis for discrete and timed systems. In: Antsaklis, P.J., Kohn, W., Nerode, A., Sastry, S.S. (eds.) HS 1994. LNCS, vol. 999. Springer, Heidelberg (1995)

    Google Scholar 

  2. Bacchus, F., Kabanza, F.: Using temporal logic to express search control knowledge for planning. Artificial Intelligence (1998) (Submitted for pubblication)

    Google Scholar 

  3. Bryant, R.E.: Graph-Based Algorithms for Boolean Function Manipulation. IEEE Transactions on Computers C-35(8), 677–691 (1986)

    Article  Google Scholar 

  4. Cesta, A., Riccucci, P., Daniele, M., Traverso, P., Giunchiglia, E., Piaggio, M., Shaerf, M.: Jerry: a system for the automatic generation and execution of plans for robotic devices - the case study of the Spider arm. In: Proc. of ISAIRAS 1999 (1999)

    Google Scholar 

  5. Chen, X.J., de Giacomo, G.: Reasoning about nondeterministic and concurrent actions: A process algebra approach. Artificial Intelligence 107(1), 29–62 (1999)

    Article  Google Scholar 

  6. Cimatti, A., Clarke, E., Giunchiglia, F., Roveri, M.: NuSmv: a reimplementation of smv. Technical Report 9801-06, IRST, Trento, Italy (January 1998)

    Google Scholar 

  7. Cimatti, A., Giunchiglia, E., Giunchiglia, F., Traverso, P.: Planning via Model Checking: A Decision Procedure for AR. In: ECP 1997, pp. 130–142 (1997)

    Google Scholar 

  8. Cimatti, A., Roveri, M.: Conformant Planning via Model Checking. In: Biundo, S., Fox, M. (eds.) ECP 1999. LNCS, vol. 1809. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  9. Cimatti, A., Roveri, M., Traverso, P.: Automatic OBDD-based Generation of Universal Plans in Non-Deterministic Domains. In: Proc. of AAAI 1998 (1998)

    Google Scholar 

  10. Cimatti, A., Roveri, M., Traverso, P.: Strong Planning in Non-Deterministic Domains via Model Checking. In: Proc. of AIPS 1998 (1998)

    Google Scholar 

  11. Daniele, M., Traverso, P., Vardi, M.Y.: Strong Cyclic Planning Revisited. Technical Report 9908-03, IRST, Trento, Italy (August 1999)

    Google Scholar 

  12. de Giacomo, G., Vardi, M.Y.: Automata-theoretic approach to planning with temporally extended goals. In: Biundo, S., Fox, M. (eds.) ECP 1999. LNCS, vol. 1809. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  13. Dean, T., Kaelbling, L., Kirman, J., Nicholson, A.: Planning Under Time Constraints in Stochastic Domains. Artificial Intelligence 76(1-2), 35–74 (1995)

    Article  Google Scholar 

  14. Emerson, E.A.: Temporal and modal logic. In: van Leeuwen, J. (ed.) Hand book of Theoretical Computer Science. Formal Models and Semantics, ch. 16, Vol. B, pp. 995–1072. Elsevier, Amsterdam (1990)

    Google Scholar 

  15. Ernst, M., Millstein, T., Weld, D.: Automatic SAT-compilation of planning problems. In: Proc. of IJCAI 1997 (1997)

    Google Scholar 

  16. Fikes, R.E., Nilsson, N.J.: STRIPS: A new approach to the application of Theorem Proving to Problem Solving. Artificial Intelligence 2(3-4), 189–208 (1971)

    Article  MATH  Google Scholar 

  17. Giunchiglia, E., Kartha, G.N., Lifschitz, V.: Representing action: Indeterminacy and ramifications. Artificial Intelligence 95(2), 409–438 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  18. Giunchiglia, F., Traverso, P.: Planning as Model Checking. In: Biundo, S., Fox, M. (eds.) ECP 1999. LNCS, vol. 1809. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  19. Goldman, R., Musliner, D., Krebsbach, K., Boddy, M.: Dynamic Abstraction Planning. In: Proc. of AAAI 1997 (1998)

    Google Scholar 

  20. Kupferman, O., Vardi, M.Y.: Synthesis with incomplete information. In: Proc. of 2nd International Conference on Temporal Logic, pp. 91–106 (1997)

    Google Scholar 

  21. Penberthy, J., Weld, D.: UCPOP: A sound, complete, partial order planner for ADL. In: Proc. of KR 1992 (1992)

    Google Scholar 

  22. Schoppers, M.J.: Universal plans for Reactive Robots in Unpredictable Environments. In: Proc. of IJCAI 1987, pp. 1039–1046 (1987)

    Google Scholar 

  23. Smith, D., Weld, D.: Conformant Graphplan. In: AAAI 1998, pp. 889–896 (1998)

    Google Scholar 

  24. Steel, S.: Action under Uncertainty. J. of Logic and Computation, Special Issue on Action and Processes 4(5), 777–795 (1994)

    MathSciNet  Google Scholar 

  25. Stephan, W., Biundo, S.: A New Logical Framework for Deductive Planning. In: Proc. of IJCAI 1993, pp. 32–38 (1993)

    Google Scholar 

  26. Vardi, M.Y., Wolper, P.: Reasoning about infinite computations. Information and Computation 115(1), 1–37 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  27. Weld, D., Anderson, C., Smith, D.: Extending Graphplan to Handle Uncertaintyand Sensing Actions. In: Proc. of AAAI 1998, pp. 897–904 (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Daniele, M., Traverso, P., Vardi, M.Y. (2000). Strong Cyclic Planning Revisited. In: Biundo, S., Fox, M. (eds) Recent Advances in AI Planning. ECP 1999. Lecture Notes in Computer Science(), vol 1809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720246_3

Download citation

  • DOI: https://doi.org/10.1007/10720246_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67866-3

  • Online ISBN: 978-3-540-44657-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics