A Survey of Toulmin Argumentation Approach for Medical Applications

Abstract

The argumentation field in Artificial Intelligence has increases significantly resulting in a practical body of work. This survey explores the techniques that are used to accomplish the foundations for argumentation. It also provides a review of the recent advances in the argumentation techniques that specialize in using Toulmin’s model when dealing with conflicting problems in the medicine domain. It also displays a discussion of the challenges faced in the automatic extraction of a deeper understanding of inference techniques. The drug conflict problem is considered to be one of most challenging aspects in medicine filed in the world. This survey also reviews Toulmin’s model of argumentation in terms of solving conflicting problems in different domains that are specialized in solving drug conflicts in medicine.