Output details
11 - Computer Science and Informatics
University of Aberdeen
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Output 0 of 0 in the submission
Output title
Opponent Models with Uncertainty for Strategic Argumentation
Type
E - Conference contribution
DOI
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Name of conference/published proceedings
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence : Beijing, China, 3–9 August 2013
Volume number
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Issue number
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First page of article
332
ISSN of proceedings
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Year of publication
2013
URL
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Number of additional authors
2
Additional information
<22>IJCAI is the foremost international conference on Artificial Intelligence held biennially with very rigorous reviewing standards. It builds on research presented at ArgMAS (Oren and Norman, 2009, Arguing using opponent models, 15 citations), extending it to the probabilistic domain, and empirically evaluating the approach. This is the first to consider, in the context of argumentation theory, how an agent should act in dialogue given some knowledge about an opponent. The work has led to several research groups across the world (e.g. King’s College London, Spain and The Netherlands) utilising this argument strategy within their research and arguing agents.
Interdisciplinary
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Cross-referral requested
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Research group
None
Citation count
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Proposed double-weighted
No
Double-weighted statement
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Reserve for a double-weighted output
No
Non-English
No
English abstract
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