Skip to main content

Parallel Actions and Generalized Multivalued Constraints in Multivalued Planning

  • Conference paper
  • 1553 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5073))

Abstract

In this work an extension of the model for planning with multivalued fluents and graded actions introduced in [8] is proposed. This model is based on the infinity–valued Lukasiewicz logic, where the fluents can assume truth values in the interval [0,1] and actions can be executed at different application degrees also varying in [0,1]. Multivalued fluents and graded actions allow to model many real situations where some features of the world are fuzzy and where actions can be executed with varying strength. The main contributions of this paper are given by the introduction of the simultaneous executability of the graded actions and the extension of multivalued constraints to generalized multivalued constraints. An extension of the correct/complete algorithm which solves bounded multivalued planning problems is presented. It allows to solve problems with generalized constraints and simultaneous actions.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Blum, A., Furst, M.: Fast Planning Through Planning Graph Analysis. Artificial Intelligent 90, 279–298 (1997)

    Google Scholar 

  2. McCarthy, J., Hayes, P.J.: Some philosophical problems from the standpoint of artificial intelligence. Machine Intelligence 90, 463–502 (1969)

    Google Scholar 

  3. Kautz, H., Selman, B.: Planning as Satisfiability. In: 10th European Conference on Artificial Intelligence (ECAI 1992), pp. 360–363 (1992)

    Google Scholar 

  4. Cimatti, A., Roveri, M., Traverso, P.: Strong Planning in Non-Deterministic Domains Via Model Checking. Artificial Intelligence Planning Systems, 36–43 (1998)

    Google Scholar 

  5. Cialdea, M., Orlandini, A., Balestreri, G., Limongelli, C.: A planner fully based on Linear Time Logic. In: Proc. of AIPS 2000, pp. 347–354 (2000)

    Google Scholar 

  6. Bacchus, F., Kabanza, F.: Using Temporal Logics to Express Search Control Knowledge for Planning. Artificial Intelligence 16, 123–191 (2000)

    Article  MathSciNet  Google Scholar 

  7. Miguel, I., Jarvis, P., Shen, Q.: Efficient Flexible Planning via Dynamic Flexible Constraint Satisfaction. Engineering Applications of AI 14, 301–327 (2001)

    Google Scholar 

  8. Baioletti, M., Milani, A., Poggioni, V., Suriani, S.: A Multivalued logic model of planning. In: Proc. of ECAI 2006 (2006)

    Google Scholar 

  9. Hajek, P.: Mathematics of Fuzzy Logic, Machine Intelligence. Kluwer Academic Publisher, Dordrecht (1998)

    Google Scholar 

  10. Baioletti, M., Milani, A., Poggioni, V., Suriani, S.: A Multivalued planning model for soft constraints and preferences. In: Proc. of ICAPS 2006, WS on Preferences and Soft Constraints (2006)

    Google Scholar 

  11. Gerevini, A., Long, D., SPlan Constraints, D.: Preferences in PDDL3, Tech. Rep. of Dept. of Electronics for Automation, University of Brescia, Italy (2005)

    Google Scholar 

  12. Hähnle, R.: Some philosophical problems from the standpoint of artificial intelligence. Proof Theory on many–valued logic – linear optimization – logic design: Connections And Interactions 1, 107–119 (1997)

    Google Scholar 

  13. Balas, E.: Disjunctive Programming. Annals of Discrete Mathematics 5, 3–51 (1979)

    Article  MathSciNet  MATH  Google Scholar 

  14. Bozzano, M., et al.: The MathSAT 3 System. In: Nieuwenhuis, R. (ed.) CADE 2005. LNCS (LNAI), vol. 3632, Springer, Heidelberg (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Osvaldo Gervasi Beniamino Murgante Antonio Laganà David Taniar Youngsong Mun Marina L. Gavrilova

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Baioletti, M., Milani, A., Poggioni, V., Suriani, S. (2008). Parallel Actions and Generalized Multivalued Constraints in Multivalued Planning. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2008. ICCSA 2008. Lecture Notes in Computer Science, vol 5073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69848-7_79

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-69848-7_79

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69840-1

  • Online ISBN: 978-3-540-69848-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics