Abstract Argumentation for Case-Based Reasoning.
File(s)
Published version
Author(s)
Cyras, K
Satoh, K
Toni, F
Type
Conference Paper
Abstract
We investigate case-based reasoning (CBR) problems where cases are represented by abstract factors and (positive or negative) outcomes, and an outcome for a new case, represented by abstract factors, needs to be established. To this end, we employ abstract argumentation (AA) and propose a novel methodology for CBR, called AA-CBR. The argumentative formulation naturally allows to characterise the computation of an outcome as a dialogical process between a proponent and an opponent, and can also be used to extract explanations for why an outcome for a new case is (not) computed.
Date Issued
2016-03-30
Date Acceptance
2016-03-01
Citation
Proceedings of the Fifteenth International Conference on the Principles of Knowledge Representation and Reasoning (KR 2016), 2016, pp.549-552
ISBN
978-1-57735-755-1
Publisher
AAAI Press
Start Page
549
End Page
552
Journal / Book Title
Proceedings of the Fifteenth International Conference on the Principles of Knowledge Representation and Reasoning (KR 2016)
Copyright Statement
© 2016 Association for the Advancement of Artificial
Intelligence (www.aaai.org). All rights reserved.
Intelligence (www.aaai.org). All rights reserved.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/J020915/1
Source
Fifteenth International Conference on the Principles of Knowledge Representation and Reasoning (KR 2016)
Publication Status
Published
Start Date
2016-04-25
Finish Date
2016-04-29
Coverage Spatial
Cape Town, South Africa