Ranking-Based Semantics for Sets of Attacking Arguments
- Submitting institution
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University of Aberdeen
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 156137572
- Type
- E - Conference contribution
- DOI
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10.1609/aaai.v34i03.5697
- Title of conference / published proceedings
- Proceedings of the AAAI Conference on Artificial Intelligence
- First page
- 3033
- Volume
- 34
- Issue
- 03
- ISSN
- 2159-5399
- Open access status
- Technical exception
- Month of publication
- April
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was developed in the context of the multi-disciplinary DOCaMEx French project which aim is to model traditional cheese making knowledge and expertise. The paper studies ranking-based semantics for argumentation frameworks with sets of attacking arguments by delivering desirable properties and new concrete semantics. The problem tackled is critical for multiple areas of work which have gained increasing importance such as sets of attacking arguments, ranking-based semantics and abstract argumentation. The paper was well-received by AAAI reviewers who acknowledged its quality and that this constitute the first essential guidelines for researchers willing to create ranking-based semantic for such frameworks.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -