Explainability in Multi-Agent Path/Motion Planning: User-study-driven Taxonomy and Requirements

Martim Brandao, Masoumeh Mansouri, Areeb Mohammed, Paul Luff, Amanda Jane Coles. Explainability in Multi-Agent Path/Motion Planning: User-study-driven Taxonomy and Requirements. In Piotr Faliszewski, Viviana Mascardi, Catherine Pelachaud, Matthew E. Taylor, editors, 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, Auckland, New Zealand, May 9-13, 2022. pages 172-180, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2022. [doi]

@inproceedings{BrandaoMMLC22,
  title = {Explainability in Multi-Agent Path/Motion Planning: User-study-driven Taxonomy and Requirements},
  author = {Martim Brandao and Masoumeh Mansouri and Areeb Mohammed and Paul Luff and Amanda Jane Coles},
  year = {2022},
  url = {https://dl.acm.org/doi/10.5555/3535850.3535871},
  researchr = {https://researchr.org/publication/BrandaoMMLC22},
  cites = {0},
  citedby = {0},
  pages = {172-180},
  booktitle = {21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, Auckland, New Zealand, May 9-13, 2022},
  editor = {Piotr Faliszewski and Viviana Mascardi and Catherine Pelachaud and Matthew E. Taylor},
  publisher = {International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)},
  isbn = {978-1-4503-9213-6},
}