Equilibrium States in Numerical Argumentation Networks
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Abstract (arXiv)
Given an argumentation network with initial values to the arguments, we look for algorithms which can yield extensions compatible with such initial values. We find that the best way of tackling this problem is to offer an iteration formula that takes the initial values and the attack relation and iterates a sequence of intermediate values that eventually converges leading to an extension. The properties surrounding the application of the iteration formula and its connection with other numerical and non-numerical techniques proposed by others are thoroughly investigated in this paper.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Aug 2014.
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Citing papers per year: 2022: 3; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
6 papers.
- 2022Inferring Attack Relations for Gradual Semanticscited by 3
- 2024A Methodology for Incompleteness-Tolerant and Modular Gradual Semantics for Argumentative Statement Graphscited by 3
- 2022The Inverse Problem for Argumentation Gradual Semanticscited by 2
- 2023Identifying Reasons for Bias: An Argumentation-Based Approachcited by 1
- 2022Fuzzy Labeling Semantics for Quantitative Argumentationcited by 0
- 2026GRASP: Deterministic argument ranking in interaction graphscited by 0
- 2026GRASP: Deterministic argument ranking in interaction graphs18 May 2026
- 2024A Methodology for Incompleteness-Tolerant and Modular Gradual Semantics for Argumentative Statement Graphs29 Oct 2024
- 2023Identifying Reasons for Bias: An Argumentation-Based Approach25 Oct 2023
- 2022Inferring Attack Relations for Gradual Semantics29 Nov 2022
- 2022Fuzzy Labeling Semantics for Quantitative Argumentation15 Jul 2022
- 2022The Inverse Problem for Argumentation Gradual Semantics1 Feb 2022