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Holographic Case-Based Reasoning

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Case-Based Reasoning Research and Development (ICCBR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12311))

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Abstract

In this paper, we present a novel extension of CBR that allows cases to be more proactive at problem solving, by enriching case representations and facilitating richer interconnectedness between cases. We empirically study the improvements resulting from a holographic realization on experimental datasets. In addition to making CBR more cognitively appealing, the idea has the potential to lend itself as an elegant general CBR formalism of which diverse realizations of CBR can be viewed as instances.

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Authors and Affiliations

  1. Indian Institute of Technology Madras, Chennai, 600036, TN, India

    Devi Ganesan & Sutanu Chakraborti

Authors
  1. Devi Ganesan
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  2. Sutanu Chakraborti
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Corresponding author

Correspondence to Devi Ganesan .

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Editors and Affiliations

  1. School of Computer Science, University of Auckland, Auckland, New Zealand

    Ian Watson

  2. College of Computing and Informatics, Drexel University, Philadelphia, PA, USA

    Rosina Weber

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Ganesan, D., Chakraborti, S. (2020). Holographic Case-Based Reasoning. In: Watson, I., Weber, R. (eds) Case-Based Reasoning Research and Development. ICCBR 2020. Lecture Notes in Computer Science(), vol 12311. Springer, Cham. https://doi.org/10.1007/978-3-030-58342-2_10

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  • DOI: https://doi.org/10.1007/978-3-030-58342-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58341-5

  • Online ISBN: 978-3-030-58342-2

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