Skip to main content

Analogical replay

  • Chapter
  • First Online:
  • 177 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 886))

Abstract

This chapter presented the replay mechanism. It motivates the problem and describes the approach developed. The replay algorithm is designed as an extension to the base-level planner. It involves a complete reinterpretation of the justifications structures in the new problem solving context, as well as the development of appropriate actions to be taken when transformed justifications are no longer valid.

The base-level problem solver alternates between generating alternatives to solve a problem and searching the space created by these alternatives. In contrast, the analogical reasoner tests previous alternatives, attempting to pursue the successful ones. The branching factor of the search space may also be reduced when the replay mechanism validates previous failures and prunes them from the new search space.

The replay mechanism can integrate guidance from multiple past similar cases. The chapter also discusses different merging strategies.

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Editor information

Manuela M. Veloso

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

(1994). Analogical replay. In: Veloso, M.M. (eds) Planning and Learning by Analogical Reasoning. Lecture Notes in Computer Science, vol 886. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58811-6_7

Download citation

  • DOI: https://doi.org/10.1007/3-540-58811-6_7

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58811-5

  • Online ISBN: 978-3-540-49109-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics