Non-monotonic inference properties for assumption-based argumentation
File(s)NMI Properties for ABA (TAFA'15).pdf (322.37 KB)
Accepted version
Author(s)
Čyras, K
Toni, F
Type
Conference Paper
Abstract
Cumulative Transitivity and Cautious Monotonicity are widely considered as important properties of non-monotonic inference and equally as regards to information change. We propose three novel formulations of each of these properties for Assumption-Based Argumentation (ABA)-an established structured argumentation formalism, and investigate these properties under a variety of ABA semantics.
Date Issued
2016-01-07
Date Acceptance
2015-07-25
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, 9524, pp.92-111
ISBN
9783319284590
ISSN
0302-9743
Publisher
Springer
Start Page
92
End Page
111
Journal / Book Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
9524
Copyright Statement
© Springer International Publishing Switzerland 2015. The final publication is available at Springer via https://link.springer.com/chapter/10.1007%2F978-3-319-28460-6_6
Source
Third International Workshop, TAFA 2015
Subjects
08 Information And Computing Sciences
Artificial Intelligence & Image Processing
Publication Status
Published
Start Date
2015-07-25
Finish Date
2015-07-26
Coverage Spatial
Buenos Aires, Argentina