Abstract Argumentation Frameworks with Domain Assignments

Vassiliades, Alexandros; Patkos, Theodore; Flouris, Giorgos; Bikakis, Antonis; Bassiliades, Nick; Plexousakis, Dimitris

doi:10.24963/ijcai.2021/286

Abstract Argumentation Frameworks with Domain Assignments

Alexandros Vassiliades, Theodore Patkos, Giorgos Flouris, Antonis Bikakis, Nick Bassiliades, Dimitris Plexousakis

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 2076-2082.

https://doi.org/10.24963/ijcai.2021/286

Keywords

Knowledge Representation and Reasoning: Non-monotonic Reasoning
Knowledge Representation and Reasoning: Computational Models of Argument

Abstract

Argumentative discourse rarely consists of opinions whose claims apply universally. As with logical statements, an argument applies to specific objects in the universe or relations among them, and may have exceptions. In this paper, we propose

an argumentation formalism that allows associating arguments with a domain of application. Appropriate semantics are given, which formalise the notion of partial argument acceptance, i.e. the set of objects or relations that an argument can be applied

to. We show that our proposal is in fact equivalent to the standard Argumentation Frameworks of Dung, but allows a more intuitive and compact expression of some core concepts of commonsense and non-monotonic reasoning, such as the scope of an argument, exceptions, relevance and others.

Alexandros Vassiliades, Theodore Patkos, Giorgos Flouris, Antonis Bikakis, Nick Bassiliades, and Dimitris Plexousakis. 2021. Abstract Argumentation Frameworks with Domain Assignments. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 2076–2082. https://doi.org/10.24963/ijcai.2021/286

@inproceedings{ijcai2021p286,
  title     = {Abstract Argumentation Frameworks with Domain Assignments},
  author    = {Vassiliades, Alexandros and Patkos, Theodore and Flouris, Giorgos and Bikakis, Antonis and Bassiliades, Nick and Plexousakis, Dimitris},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {2076--2082},
  year      = {2021},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2021/286},
  url       = {https://doi.org/10.24963/ijcai.2021/286},
}

TY  - CPAPER
TI  - Abstract Argumentation Frameworks with Domain Assignments
AU  - Vassiliades, Alexandros
AU  - Patkos, Theodore
AU  - Flouris, Giorgos
AU  - Bikakis, Antonis
AU  - Bassiliades, Nick
AU  - Plexousakis, Dimitris
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 2076
EP  - 2082
DO  - 10.24963/ijcai.2021/286
UR  - https://doi.org/10.24963/ijcai.2021/286
ER  -