Imperial College London
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ProfessorFrancescaToni

Faculty of Engineering, Department of Computing

Professor in Computational Logic
 
 
 
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Contact

 

+44 (0)20 7594 8228f.toni Website

 
 
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Location

 

430Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Karamlou:2019,
author = {Karamlou, A and Cyras, K and Toni, F},
pages = {2366--2368},
publisher = {IFAAMAS / ACM},
title = {Deciding the winner of a debate using bipolar argumentation},
url = {http://dl.acm.org/citation.cfm?id=3332114},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Bipolar Argumentation Frameworks (BAFs) are an important class of argumentation frameworks useful for capturing, reasoning with, and deriving conclusions from debates. They have the potential to make solid contributions to real-world multi-agent systems and human-agent interaction in domains such as legal reasoning, healthcare and politics. Despite this fact, practical systems implementing BAFs are largely lacking. In this demonstration, we provide a software system implementing novel algorithms for calculating extensions (winning sets of arguments) of BAFs. Participants in the demonstration will be able to input their own debates into our system, and watch a graphical representation of the algorithms as they process information and decide which sets of arguments are winners of the debate.
AU  - Karamlou,A
AU  - Cyras,K
AU  - Toni,F
EP  - 2368
PB  - IFAAMAS / ACM
PY  - 2019///
SN  - 2523-5699
SP  - 2366
TI  - Deciding the winner of a debate using bipolar argumentation
UR  - http://dl.acm.org/citation.cfm?id=3332114
UR  - http://www.ifaamas.org/Proceedings/aamas2019/
UR  - http://hdl.handle.net/10044/1/75872
ER  -
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