Skip to main content

Research Repository

Advanced Search

Failure-driven transformational case reuse of explanation strategies in CloodCBR.

Nkisi-Orji, Ikechukwu; Palihawadana, Chamath; Wiratunga, Nirmalie; Wijekoon, Anjana; Corsar, David

Authors

Anjana Wijekoon



Contributors

Sutanu Chakraborti
Editor

Abstract

In this paper, we propose a novel approach to improve problem-solving efficiency through the reuse of case solutions. Specifically, we introduce the concept of failure-driven transformational case reuse of explanation strategies, which involves transforming suboptimal solutions using relevant components from nearest neighbours in sparse case bases. To represent these explanation strategies, we use behaviour trees and demonstrate their usefulness in solving similar problems. Our approach uses failures as a starting point for generating new solutions, analysing the causes and contributing factors to the failure. From this analysis, new solutions are generated through a nearest neighbour-based transformation of previous solutions, resulting in solutions that address the failure. We compare different approaches for reusing solutions of the nearest neighbours and empirically evaluate whether the transformed solutions meet the required explanation intents. Our proposed approach has the potential to significantly improve problem-solving efficiency in sparse case bases with complex case solutions.

Citation

NKISI-ORJI, I., PALIHAWADANA, C., WIRATUNGA, N., WIJEKOON, A. and CORSAR, D. 2023. Failure-driven transformational case reuse of explanation strategies in CloodCBR. In Massie, S. and Chakraborti, S. (eds.) Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning 2023 (ICCBR 2023), 17-20 July 2023, Aberdeen, UK. Lecture notes in computer science (LNCS), 14141. Cham: Springer [online], pages 279-293. Available from: https://doi.org/10.1007/978-3-031-40177-0_18

Presentation Conference Type Conference Paper (published)
Conference Name 31st International conference on case-based reasoning 2023 (ICCBR 2023)
Start Date Jul 17, 2023
End Date Jul 20, 2023
Acceptance Date Jun 16, 2023
Online Publication Date Jul 29, 2023
Publication Date Sep 30, 2023
Deposit Date Oct 5, 2023
Publicly Available Date Jul 30, 2024
Publisher Springer
Peer Reviewed Peer Reviewed
Pages 279-293
Series Title Lecture notes in computer science (LNCS)
Series Number 14141
Series ISSN 0302-9743; 1611-3349
Book Title Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning 2023 (ICCBR 2023), 17-20 July 2023, Aberdeen, UK
ISBN 9783031401763
DOI https://doi.org/10.1007/978-3-031-40177-0_18
Keywords Case-based reasoning; Case reuse; Explainable AI; Behaviour trees
Public URL https://rgu-repository.worktribe.com/output/2098540
Additional Information This paper is also available from the conference website: https://delegate.iccbr2023.org/res/paper_69.pdf

Files

NKISI-ORJI 2023 Failure-driven transformational case (AAM) (1.6 Mb)
PDF

Copyright Statement
This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-40177-0_18. Use of this Accepted Version is subject to the publisher's Accepted Manuscript terms of use.






You might also like



Downloadable Citations