AIJan 13, 2017

On the links between argumentation-based reasoning and nonmonotonic reasoning

arXiv:1701.03714v11 citations
Originality Synthesis-oriented
AI Analysis

This work clarifies theoretical foundations for argumentation in AI, though it appears incremental as it builds on existing frameworks.

This paper investigates how argumentation-based reasoning systems, specifically ASPIC+, relate to established axioms for nonmonotonic reasoning, finding that ASPIC+ is non-cumulative and non-monotonic, making it weaker than previously considered minimal systems.

In this paper we investigate the links between instantiated argumentation systems and the axioms for non-monotonic reasoning described in [9] with the aim of characterising the nature of argument based reasoning. In doing so, we consider two possible interpretations of the consequence relation, and describe which axioms are met by ASPIC+ under each of these interpretations. We then consider the links between these axioms and the rationality postulates. Our results indicate that argument based reasoning as characterised by ASPIC+ is - according to the axioms of [9] - non-cumulative and non-monotonic, and therefore weaker than the weakest non-monotonic reasoning systems they considered possible. This weakness underpins ASPIC+'s success in modelling other reasoning systems, and we conclude by considering the relationship between ASPIC+ and other weak logical systems.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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