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Summary Report of The First International Competition on Computational Models of Argumentation

Thimm, Matthias, Villata, Serena, Cerutti, Federico, Oren, Nir, Strass, Hannes and Vallati, Mauro (2016) Summary Report of The First International Competition on Computational Models of Argumentation. AI Magazine. ISSN 0738-4602 (In Press)

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Abstract

Computational models of argumentation are an active research discipline within
Artificial Intelligence that has grown since the beginning of the 1990s (Dung 1995).
While still a young field when compared to areas such as SAT solving and Logic
Programming, the argumentation community is very active, with a conference
series (COMMA, which began in 2006) and a variety of workshops and special
issues of journals. Argumentation has also worked its way into a variety of
applications. For example, Williams et al. (2015) described how argumentation
techniques are used for recommending cancer treatments, while Toniolo et
al. (2015) detail how argumentation-based techniques can support critical thinking
and collaborative scientific inquiry or intelligence analysis.
Many of the problems that argumentation deals with are computationally
difficult, and applications utilising argumentation therefore require efficient
solvers. To encourage this line of research, we organised the First International
Competition on Computational Models of Argumentation (ICCMA), with the
intention of assessing and promoting state of the art solvers for abstract
argumentation problems, and to identify families of challenging benchmarks for
such solvers.
The objective of ICCMA’15 is to allow researchers to compare the performance of
different solvers systematically on common benchmarks and rules. Moreover, as
witnessed by competitions in other AI disciplines such as planning and SAT
solving, we see ICCMA as a new pillar of the community which provides
information and insights on the current state of the art, and highlights future
challenges and developments.
This article summarises the first ICCMA held in 2015 (ICCMA’15). In this
competition, solvers were invited to address standard decision and enumeration
problems of abstract argumentation frameworks (Dunne and Wooldridge 2009).
Solvers’ performance is evaluated based on their time taken to provide a correct
solution for a problem; incorrect results were discarded. More information about
the competition, including complete results and benchmarks, can be found on the
ICCMA website.

Item Type: Article
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools: School of Computing and Engineering
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
Related URLs:
Depositing User: Mauro Vallati
Date Deposited: 15 Oct 2015 08:28
Last Modified: 30 Nov 2016 18:51
URI: http://eprints.hud.ac.uk/id/eprint/26063

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