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An Accurate Adaptation-Guided Similarity Metric for Case-Based Planning

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Case-Based Reasoning Research and Development (ICCBR 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2080))

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Abstract

In this paper, we present an adaptation-guided similarity metric based on the estimate of the number of actions between states, called ADG (Action Distance-Guided). It is determined by using a heuristic calculation extracted from the heuristic search planning, called FF, which was the fastest planner in the AIPS’2000 competition. This heuristic provides an accurate estimate of the distance between states that is appropriated for similarity measures. Consequently, the ADG becomes a new approach, suitable for domain independent case-based planning systems that perform state-space search.

This work is supported by FAPESP under contract no. 98/15835-9.

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Author information

Authors and Affiliations

  1. Universidade de São Paulo - Escola Politécnica, Av. Luciano Gualberto 158, trav3 05508-900, São Paulo, Brazil

    Flavio Tonidandel

  2. Faculdade de Engenharia Industrial, Av. Humberto de A. Castelo Branco, 3972 09850-901, São Bernardo do Campo, Brazil

    Márcio Rillo

Authors
  1. Flavio Tonidandel
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  2. Márcio Rillo
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Editor information

Editors and Affiliations

  1. Naval Research Laboratory, Code 5510, Navy Center for Applied Research in Artificial Intelligence, 4555 OverlookAvenue, SW, Washington, DC, 20375, USA

    David W. Aha

  2. Computer Science Department, University of Auckland, Private Bag 92019, Auckland 1, New Zealand

    Ian Watson

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© 2001 Springer-Verlag Berlin Heidelberg

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Tonidandel, F., Rillo, M. (2001). An Accurate Adaptation-Guided Similarity Metric for Case-Based Planning. In: Aha, D.W., Watson, I. (eds) Case-Based Reasoning Research and Development. ICCBR 2001. Lecture Notes in Computer Science(), vol 2080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44593-5_37

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  • DOI: https://doi.org/10.1007/3-540-44593-5_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42358-4

  • Online ISBN: 978-3-540-44593-7

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