Forgetting aspects in assumption-based argumentation
M. Berthold, A. Rapberger, and M. Ulbricht. Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning, page 86--96. California, International Joint Conferences on Artificial Intelligence Organization, (September 2023)
Abstract
We address the issue of forgetting in assumption-based argumentation (ABA). Forgetting is driven by the goal to remove certain elements from a knowledge base, while preserving the structure of its models as well as possible. We introduce several forgetting operators tailored to accomplish the removal of different pieces of the ABA knowledge base---assumptions, contraries, and atoms---formalizing a diverse selection of perspectives on this issue. We examine the quality of our operators by studying their compliance with suitable desiderata we propose. Thereby, we investigate the impact of the operators on the syntax of the given ABA knowledge base, its semantics, but also the instantiated argumentation framework; thus bridging recent forgetting studies on non-monotonic formalisms including argumentation theory.
Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning
year
2023
month
sep
pages
86--96
publisher
International Joint Conferences on Artificial Intelligence Organization
conference
20th International Conference on Principles of Knowledge Representation and Reasoning \KR-2023\
location
Rhodes, Greece
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%0 Conference Paper
%1 Berthold2023-tk
%A Berthold, Matti
%A Rapberger, Anna
%A Ulbricht, Markus
%B Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning
%C California
%D 2023
%I International Joint Conferences on Artificial Intelligence Organization
%K
%P 86--96
%T Forgetting aspects in assumption-based argumentation
%X We address the issue of forgetting in assumption-based argumentation (ABA). Forgetting is driven by the goal to remove certain elements from a knowledge base, while preserving the structure of its models as well as possible. We introduce several forgetting operators tailored to accomplish the removal of different pieces of the ABA knowledge base---assumptions, contraries, and atoms---formalizing a diverse selection of perspectives on this issue. We examine the quality of our operators by studying their compliance with suitable desiderata we propose. Thereby, we investigate the impact of the operators on the syntax of the given ABA knowledge base, its semantics, but also the instantiated argumentation framework; thus bridging recent forgetting studies on non-monotonic formalisms including argumentation theory.
@inproceedings{Berthold2023-tk,
abstract = {We address the issue of forgetting in assumption-based argumentation (ABA). Forgetting is driven by the goal to remove certain elements from a knowledge base, while preserving the structure of its models as well as possible. We introduce several forgetting operators tailored to accomplish the removal of different pieces of the ABA knowledge base---assumptions, contraries, and atoms---formalizing a diverse selection of perspectives on this issue. We examine the quality of our operators by studying their compliance with suitable desiderata we propose. Thereby, we investigate the impact of the operators on the syntax of the given ABA knowledge base, its semantics, but also the instantiated argumentation framework; thus bridging recent forgetting studies on non-monotonic formalisms including argumentation theory.},
added-at = {2024-09-10T10:41:24.000+0200},
address = {California},
author = {Berthold, Matti and Rapberger, Anna and Ulbricht, Markus},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2acdc0e42b6d394b52a0b11e782e63de8/scadsfct},
booktitle = {Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning},
conference = {20th International Conference on Principles of Knowledge Representation and Reasoning \{KR-2023\}},
interhash = {39d577875b56438731cf00fe9212f63f},
intrahash = {acdc0e42b6d394b52a0b11e782e63de8},
keywords = {},
location = {Rhodes, Greece},
month = sep,
pages = {86--96},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
timestamp = {2024-09-10T10:47:32.000+0200},
title = {Forgetting aspects in assumption-based argumentation},
year = 2023
}