The 3rd International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS 2021)

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The 3rd International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS 2021)

Yazan Mualla
Please, accept our apologies in case of multiple copies of this CFP. 



The 3rd International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS 2021)

held in conjunction with:

20th International Conference on Autonomous Agents and Multiagent Systems May 17-21, 2021 London, UK





Aim and Scope


The workshop aims to gather researchers interested in developing explainable approaches to artificial intelligence, in particular to explainable agency, learning, reasoning, and their intersections. Participants are invited to submit papers addressing whichever phase of explainability (e.g., generation, communication, and reception) fostering transparency in autonomous agents and Multi-Agent Systems (MAS), robots, and other intelligent systems. Compliance with such requirements is becoming necessary in most systems where agent-oriented approaches are increasingly employed. 

Important Dates: 


Deadline for Submissions: 22 February 2021

Notification of acceptance: 7 March 2021

Camera-ready: 20 May 2021

Workshop day: 5-7 May 2021




# Special Focus: Explainable Reasoning in Face of Contradictions

- Principle-based symbolic reasoning and explainable loop-busting

- XAI and formal models of human reasoning

- Neuro-symbolic approaches to explainable and principle-based reasoning

- Principle-based and explainable legal reasoning

- Cross-disciplinary explainable reasoning and contradiction resolution

# Explainable Agents and Robots

- Explainable agent architectures

- Personalized XAI

- Explainable & Expressive robots

- Explainable human-robot collaboration

- Reinforcement Learning Agents

- Multi-modal explanations

# Interdisciplinary Aspects

- Cognitive and social sciences perspectives on explanations

- HCI for XAI

- Legal aspects of explainable agents

- Explanation visualization

# XAI & Ethics

- Social XAI

- AI, ethics, and explainability

- XAI vs AI

# XAI Machine learning and Knowledge Representation

- Bridging symbolic and subsymbolic XAI

- Knowledge generation from interpretations

- Explanation visualization

- Explainable knowledge generation


- Multi-actors interaction in XAI

- XAI for agent/robots teams

- Simulations for XAI




Davide Calvaresi, HES-SO, Switzerland

Amro Najjar, University of Luxembourg, Luxembourg 

Kary Framling, Umea University, Sweden

Michael Winikoff, Victoria University of Wellington, in Aotearoa, New Zealand

Timotheus Kampik, Signavio GmbH/Umeå University (Industry Chair)


Advisory Board: 


Tim Miller, School of Computing and Information Systems at The University of Melbourne

Leon van der Torre, University of Luxembourg

Virginia Dignum, Umea University, Sweden

Michael Ignaz Schumacher, HES-SO, Switzerland

Dov Gabbay (keynote speaker), Professor emeritus, King’s College, London, UK


Assistant Chairs:


Giovanni Ciatto, Università di Bologna, Italy
Sviatlana Höhn, University of Luxembourg




All accepted papers can be published in the Springer post-proceedings Lecture Notes in Artificial Intelligence (LNAI). Participants are therefore invited to submit papers up to 16 pages in length (5 pages incl. references for demo papers), addressing the topics of the workshop. Papers must be edited using the LNCS format (applying the LNCS post-proceedings template) and have to be submitted electronically as PDF files via the EasyChair submission page.


Special Issue:


Selected accepted papers that present relevant formal results will be invited to a special issue in the Journal of Applied Logics - IfCoLoG Journal of Logics and their Applications (ISSN (E): 055-3714, ISSN (P): 2055-3706).




For questions regarding the Workshop, please contact the conference organizers at   [hidden email], [hidden email], [hidden email].

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