A meta-argumentation approach for the efficient computation of stable and preferred extensions in dynamic bipolar argumentation frameworks-Reference-Cited by-同舟云学术

A meta-argumentation approach for the efficient computation of stable and preferred extensions in dynamic bipolar argumentation frameworks

Published:2019-01-28 Issue:2 Volume:12 Page:193-211
ISSN:1724-8035
Container-title:Intelligenza Artificiale
language:
Short-container-title:IA

Author:

Alfano Gianvincenzo¹,Greco Sergio¹,Parisi Francesco¹

Affiliation:

1. Department of Informatics, Modeling, Electronics and System Engineering (DIMES), University of Calabria, Italy

Publisher

IOS Press

Subject

Artificial Intelligence

Reference59 articles.

1. Alfano G. , Greco S. and Parisi F. , Computing stable and preferred extensions of dynamic bipolar argumentation frameworks, In Proc of Workshop on Advances In Argumentation In Artificial Intelligence co-located with XVI International Conference of the Italian Association for Artificial Intelligence (AI*IA), 2017, pp. 28–42.

2. Alfano G. , Greco S. and Parisi F. , Efficient computation of extensions for dynamic abstract argumentation frameworks: An incremental approach, In Proc of International Joint Conference on Artificial Intelligence (IJCAI), 2017, pp. 49–55.

3. Alfano G. , Greco S. and Parisi F. , Computing extensions of dynamic abstract argumentation frameworks with second-order attacks, In Proc of International Database Engineering & Applications Symposium (IDEAS), 2018, pp. 183–192.

4. Alfano G. , Greco S. , Parisi F. , Simari G.I. and Simari G.R. , An incremental approach to structured argumentation over dynamic knowledge bases, In Proc of International Conference on Principles of Knowledge Representation and Reasoning (KR), 2018.

5. Alfano G. , Greco S. , Parisi F. , Simari G.I. and Simari G.R. , Incremental computation of warranted arguments in dynamic defeasible argumentation: The rule addition case, In Proc of the Symposium on Applied Computing (SAC), 2018, pp. 911–917.

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