Exploiting parallelism for hard problems in abstract argumentation
- Submitting institution
-
The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 31
- Type
- E - Conference contribution
- DOI
-
-
- Title of conference / published proceedings
- Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015
- First page
- 1475
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- June
- Year of publication
- 2015
- 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
-
5
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper was fundamental in acquiring the EU-funded project MIREL (http://www.mirelproject.eu/), of which WP3, led by Antoniou, was directly related to the content of this paper. In addition, the content played a prominent role in the delivery of invited talks by Antoniou at ONTOBRAS 2015 (https://www.ime.usp.br/~ontobras/?page_id=12&lang=en), IISA 2019 (http://iisa2019.upatras.gr/speakers.html) and at a satellite event of the 2nd World Intelligence Congress (http://info.wicongress.org/2018/en), organised by the Chinese government. The event on knowledge engineering (http://scs.tju.edu.cn/plus/view.php?aid=840) was chaired by Prof. Xiaowang Zhang (xiaowangzhang@tju.ed.cn) and Prof. Kewen Wang (k.wang@griffith.edu.au).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -