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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.

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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 

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Ian Miguel Wheeler Ruml

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© 2007 Springer-Verlag Berlin Heidelberg

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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

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  • 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)

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