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17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)
Prudent Semantics for Argumentation Frameworks
Hong Kong, China
November 14-November 16
ISBN: 0-7695-2488-5
ASCII Text
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Sylvie Coste-Marquis, Caroline Devred, Pierre Marquis, "Prudent Semantics for Argumentation Frameworks," Tools with Artificial Intelligence, IEEE International Conference on, pp. 568-572, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICTAI.2005.103,
author = {Sylvie Coste-Marquis and Caroline Devred and Pierre Marquis},
title = {Prudent Semantics for Argumentation Frameworks},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2005},
issn = {1082-3409},
pages = {568-572},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2005.103},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Prudent Semantics for Argumentation Frameworks
SN - 1082-3409
SP568
EP572
A1 - Sylvie Coste-Marquis,
A1 - Caroline Devred,
A1 - Pierre Marquis,
PY - 2005
KW - null
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
Sylvie Coste-Marquis, Université déArtois
Caroline Devred, Université déArtois
Pierre Marquis, Université déArtois
We present new prudent semantics within Dung?s theory of argumentation. Under such prudent semantics, two arguments cannot belong to the same extension whenever one of them attacks indirectly the other one. We argue that our semantics lead to a better handling of controversial arguments than Dung?s ones. We compare the prudent inference relations induced by our semantics w.r.t. cautiousness; we also compare them with the inference relations induced by Dung?s semantics.
Citation:
Sylvie Coste-Marquis, Caroline Devred, Pierre Marquis, "Prudent Semantics for Argumentation Frameworks," ictai, pp.568-572, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005
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