# Argument Schemes and Dialogue for Explainable Planning

arXiv: https://arxiv.org/abs/2101.02648 · HTML: https://mlsanity.com/paper/2101.02648/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 27 references that are in the map.
- First posted on arXiv 7 Jan 2021.

## Builds on (most cited first, 3 of 3)

- [Explanation in Artificial Intelligence: Insights from the Social Sciences](https://mlsanity.com/paper/1706.07269/) (2017)
- [Explainable Planning](https://mlsanity.com/paper/1709.10256/) (2017)
- [Cooperative Multi-Agent Planning: A Survey](https://mlsanity.com/paper/1711.09057/) (2017)

## Abstract (arXiv)

Artificial Intelligence (AI) is being increasingly deployed in practical applications. However, there is a major concern whether AI systems will be trusted by humans. In order to establish trust in AI systems, there is a need for users to understand the reasoning behind their solutions. Therefore, systems should be able to explain and justify their output. In this paper, we propose an argument scheme-based approach to provide explanations in the domain of AI planning. We present novel argument schemes to create arguments that explain a plan and its key elements; and a set of critical questions that allow interaction between the arguments and enable the user to obtain further information regarding the key elements of the plan. Furthermore, we present a novel dialogue system using the argument schemes and critical questions for providing interactive dialectical explanations.