On Demonstrating the Impact of Defeasible Reasoning in Practice via a Multi-layer Argument-based Framework

Argumentation theory (AT) is an important area of logicbased artificial intelligence, which provides the basis for computational models of defeasible reasoning. Promising results have indicated AT as a solid research area for implementing defeasible reasoning in practice. However, applications are usually ad-hoc frameworks, not incorporating all the layers and steps required in an argumentation process, limiting their applicability in different domains. The aim of this research is to design a complete argument-based framework, from the construction of arguments, to the resolution of possible inconsistencies and the computation of the final conclusion or claim. This is proposed to be evaluated across practical application in the fields of knowledge representation and decision-making. In this study it is believe that, since AT is a relatively new field, the proposal of a more generally applicable solution, in the form of a computational framework, can likely inform its acceptance, widespread and encourage the development of argument-based technologies.