Abstract Argumentation represents a way of reasoning over a knowledge base containing
possibly incomplete and/or inconsistent information, to obtain useful conclusions. As a …

A system is context-aware if it can extract, interpret and use context information and adapt its
functionality to the current context of use. Multi-agent planning generalizes the problem of …

We describe a tool for providing explanation of plans to non-technical users, built on formal
argumentation and dialogue theory, and supported by natural language generation and …

Planning is a classic problem in Artificial Intelligence (AI). Recently, the need for creating
“Explainable AI” has been recognised and voiced by many researchers. Leveraging on the …

Values are at the heart of human decision-making. They are used to decide whether
something or some state of affairs is good or not, and they are also used to address the …

This contribution presents a practical extension of a theoretical model for multi-agent
planning based upon DeLP, an argumentation-based defeasible logic. Our framework …

This contribution proposes a model for argumentation-based multi-agent planning, with a
focus on cooperative scenarios. It consists in a multi-agent extension of DeLP-POP, partial …

In this article, we study a dialogue-based approach to multi-agent collaborative plan search
in the framework of t-DeLP, an extension of DeLP for defeasible temporal reasoning. In t …

Current approaches to argumentation-based planning represent an interesting proposal
where defeasible argumentation is used as a practical mechanism suitable for reasoning …

Argumentation-based planning systems present an interesting proposal for complex and
dynamic domains where defeasible argumentation is used in the reasoning processes …