Explanation has been a central feature of AI systems for legal reasoning since their
inception. Recently, the topic of explanation of decisions has taken on a new urgency …

This article gives a tutorial introduction to the ASPIC+ framework for structured
argumentation. The philosophical and conceptual underpinnings of ASPIC+ are discussed …

This paper presents an overview on the state of the art of semantics for abstract
argumentation, covering both some of the most influential literature proposals and some …

This book presents one of the first attempts at developing a precise, grammatically rooted,
theory of conversation motivated by data from real conversations. The theory has descriptive …

Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes
them be identified with the whole AI by many non-computer-scientists and non-technical …

This paper builds on the recent ASPIC+ formalism, to develop a general framework for
argumentation with preferences. We motivate a revised definition of conflict free sets of …

In this paper we report on a significant research project undertaken to design, implement
and evaluate explainable decision-support tools for deciding legal cases. We provide a …

Artificial Intelligence algorithms are powerful in performing accurate predictions, but they are
often considered black boxes as they do not provide any explanation about how outputs are …

This article reviews legal applications of logic, with a particularly marked concern for logical
models of legal argument. We argue that the law is a rich test bed and important application …

In this paper we introduce dialectical frameworks, a powerful generalization of Dung-style
argumentation frameworks where each node comes with an associated acceptance …