Case-Based Reasoning via Comparing the Strength Order of Features

Liuwen Yu; Dov Gabbay

doi:10.1007/978-3-031-15565-9_9

Case-Based Reasoning via Comparing the Strength Order of Features

Liuwen Yu, Dov Gabbay

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Case-based reasoning (CBR) is broadly speaking a method of giving a verdict/decision on a new case query by comparing it with verdicts/decisions of known similar cases. Similarity of cases is determined either by best distance of the query case from the known cases and recently also using argumentation. The approach of this paper is not to rely on similarity or argumentation, but to use the entire set of known cases and their known verdicts to define the relative strength and importance of all the features involved in these cases. We then decide the verdict for the new case based on the strength of the features appearing in it.

Original language	English
Title of host publication	Explainable and Transparent AI and Multi-Agent Systems - 4th International Workshop, EXTRAAMAS 2022, Revised Selected Papers
Editors	Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	143-151
Number of pages	9
ISBN (Print)	9783031155642
DOIs	https://doi.org/10.1007/978-3-031-15565-9_9
State	Published - 2022
Externally published	Yes
Event	4th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2022 - Virtual, Online Duration: 9 May 2022 → 10 May 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13283 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2022
City	Virtual, Online
Period	9/05/22 → 10/05/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Funding

Liuwen Yu has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie ITN EJD grant agreement. No 814177.

Funders	Funder number
Horizon 2020 Framework Programme
H2020 Marie Skłodowska-Curie Actions	814177

Keywords

Argumentation
Case-based reasoning
Legal reasoning
Strength of features

Access to Document

10.1007/978-3-031-15565-9_9

Cite this

Yu, L., & Gabbay, D. (2022). Case-Based Reasoning via Comparing the Strength Order of Features. In D. Calvaresi, A. Najjar, M. Winikoff, & K. Främling (Eds.), Explainable and Transparent AI and Multi-Agent Systems - 4th International Workshop, EXTRAAMAS 2022, Revised Selected Papers (pp. 143-151). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13283 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15565-9_9

Yu, Liuwen ; Gabbay, Dov. / Case-Based Reasoning via Comparing the Strength Order of Features. Explainable and Transparent AI and Multi-Agent Systems - 4th International Workshop, EXTRAAMAS 2022, Revised Selected Papers. editor / Davide Calvaresi ; Amro Najjar ; Michael Winikoff ; Kary Främling. Springer Science and Business Media Deutschland GmbH, 2022. pp. 143-151 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Yu, L & Gabbay, D 2022, Case-Based Reasoning via Comparing the Strength Order of Features. in D Calvaresi, A Najjar, M Winikoff & K Främling (eds), Explainable and Transparent AI and Multi-Agent Systems - 4th International Workshop, EXTRAAMAS 2022, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13283 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 143-151, 4th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2022, Virtual, Online, 9/05/22. https://doi.org/10.1007/978-3-031-15565-9_9

Case-Based Reasoning via Comparing the Strength Order of Features. / Yu, Liuwen; Gabbay, Dov.
Explainable and Transparent AI and Multi-Agent Systems - 4th International Workshop, EXTRAAMAS 2022, Revised Selected Papers. ed. / Davide Calvaresi; Amro Najjar; Michael Winikoff; Kary Främling. Springer Science and Business Media Deutschland GmbH, 2022. p. 143-151 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13283 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Yu L, Gabbay D. Case-Based Reasoning via Comparing the Strength Order of Features. In Calvaresi D, Najjar A, Winikoff M, Främling K, editors, Explainable and Transparent AI and Multi-Agent Systems - 4th International Workshop, EXTRAAMAS 2022, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 143-151. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-15565-9_9