"The investigation of computational models of argument is a rich and fascinating interdisciplinary research field with two ultimate aims: the theoretical goal of understanding argumentation as a cognitive phenomenon by modeling it in computer programs, and the practical goal of supporting the development of computer-based systems able to engage in argumentation-related activities with human users or among themselves. The biennial International Conference on Computational Models of Argument (COMMA) conferences provide a dedicated forum for the presentation and discussion of the latest advancements in the field, and cover both basic research and innovative applications. This book presents the proceedings of COMMA 2020. Due to the Covid 19 pandemic, this year's conference will be held as an online event on the originally scheduled dates of 8 -11 September 2020. The book includes 3 invited talks, and 28 full papers, 13 short papers, and 13 demonstration abstracts selected from a total of 78 submissions. The interdisciplinary nature of the field is reflected, and contributions cover both theory and practice. Theoretical contributions include new formal models, the study of formal or computational properties of models, designs for implemented systems and experimental research. Practical papers include applications from medicine, law and criminal investigation, chatbots and online product reviews. The focus on argument mining is continued, while an emerging trend this year is the use of argumentation for explainable AI. The book provided an overview of the latest work on computational models of argument, and will be of interest to all those working in the field"-- Provided by publisher.