The project will establish the scientific foundations leading to a required shift of research directions in computational argumentation in AI. Preliminary research revealed that the currently prevalent approach to computation in argumentation faces serious computational issues and acts as a barrier to reaching maturity in the field. The current conceptual workflow in argumentation establishes how to argue rationally given certain knowledge and assumptions. However, when applied to computation---the vast majority of research on computational argumentation follows the conceptual workflow---both theoretical and empirical results show that an integral component of the conceptual workflow, that of explication of arguments, sets up a significant barrier in terms of redundancy, scalability, and complexity of argumentative explanations. Plans are made to study and develope a computational workflow, which draws its strengths from the conceptual workflow---in order to reason rationally---but avoids computational pitfalls regarding scalability and efficiency.