Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

An Analysis of Map-Based Abstraction and Refinement

  • Conference paper
Abstraction, Reformulation, and Approximation (SARA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4612))

Abstract

A variety of techniques have been introduced over the last decade for abstracting search graphs and then using these abstractions for search. While some basic work has been done to predict the value of an abstraction mechanism, the results have not been validated in practice. In this paper we analyze a variety of old and new abstraction mechanisms in a pathfinding testbed and show that the work done in abstraction-based refinement-style search can be predicted by the diameter and size of abstract nodes.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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.

Similar content being viewed by others

References

  1. Hart, P., Nilsson, N., Raphael, B.: A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems Science and Cybernetics 4(2), 100–107 (1968)

    Article  Google Scholar 

  2. Holte, R.C., Mkadmi, T., Zimmer, R.M., MacDonald, A.J.: Speeding up problem solving by abstraction: A graph oriented approach. Artificial Intelligence 85, 321–361 (1996)

    Article  Google Scholar 

  3. Botea, A., Müller, M., Schaeffer, J.: Near optimal hierarchical path–finding. Journal of Game Development 1(1), 7–28 (2004)

    Google Scholar 

  4. Sturtevant, N.R., Buro, M.: Partial pathfinding using map abstraction and refinement. In: AAAI, pp. 1392–1397 (2005)

    Google Scholar 

  5. Fernandez, A., Gonzalez, J.: Multi-Hierarchical Representation of Large-Scale Space. Kluwer Academic Publishers, Dordrecht (2001)

    MATH  Google Scholar 

  6. Yang, Q., Tenenberg, J., Woods, S.: On the implementation and evaluation of ABT weak. Computational Intelligence Journal 12, 295–318 (1996)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Ian Miguel Wheeler Ruml

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sturtevant, N., Jansen, R. (2007). An Analysis of Map-Based Abstraction and Refinement. In: Miguel, I., Ruml, W. (eds) Abstraction, Reformulation, and Approximation. SARA 2007. Lecture Notes in Computer Science(), vol 4612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73580-9_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-73580-9_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73579-3

  • Online ISBN: 978-3-540-73580-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics