Semi-Stable Semantics for Abstract Dialectical Frameworks

A.K. Zafarghandi, R. Verbrugge, B. Verheij

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Copyright © 2021, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.dialectical frameworks (ADFs) have been introduced as a formalism for modeling and evaluating argumentation allowing general logical satisfaction conditions. Different criteria that have been used to settle the acceptance of arguments are called semantics. However, the notion of semi-stable semantics as studied for abstract argumentation frameworks has received little attention for ADFs. In the current work, we present the concepts of semi-two-valued models and semi-stable models for ADFs. We show that these two notions satisfy a set of plausible properties required for semi-stable semantics of ADFs. Moreover, we show that semi-two-valued and semi-stable semantics of ADFs form a proper generalization of the semi-stable semantics of AFs, just like two-valued model and stable semantics for ADFs are generalizations of stable semantics for AFs.
Original languageEnglish
Title of host publicationProceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021
EditorsM. Bienvenu, G. Lakemeyer, E. Erdem
PublisherInternational Joint Conferences on Artificial Intelligence Organization (IJCAI Organization)
Pages422-431
ISBN (Electronic)9781956792997
Publication statusPublished - 2021
Externally publishedYes
Event18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021 - Virtual, Online
Duration: 3 Nov 202112 Nov 2021

Conference

Conference18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021
CityVirtual, Online
Period3/11/2112/11/21

Funding

This research is supported by the Center of Data Science & Systems Complexity (DSSC) Doctoral Programme, at Bernoulli Institute of the University of Groningen.

FundersFunder number
Center of Data Science & Systems Complexity
DSSC
Rijksuniversiteit Groningen

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