Assessing trustworthiness and quality of formal and natural arguments

The field of artificial argumentation is emerging as an important aspect of Artificial Intelligence research. The reason is based on the recognition that if we are to develop robust intelligent systems, then it is imperative that they can handle incomplete and inconsistent information in a way that somehow emulates the way humans tackle such a complex task. Humans do so by using argumentation either internally, by evaluating arguments and counterarguments, or externally, by for instance entering into a discussion or debate where arguments are exchanged. In this talk, I will first introduce the issue of assessing trustworthiness and quality of formal and natural arguments and then I will discuss some solutions we proposed to address this issue, at the crossroads of formal argumentation, fuzzy logic and natural language processing.