The 2nd International Workshop on EXplainable, TRansparent Autonomous Agents 
and Multi-Agent Systems (EXTRAAMAS 2020) 

In conjunction with the International Conference on Autonomous Agents and 
Multiagent Systems (AAMAS 2020) 

Auckland, New Zealand, 9 - 13 May 2020 


The main aim of this second “International workshop on EXplainable TRansparent 
Autonomous Agents and Multi-Agent Systems” (EXTRAAMAS) is four-folded: 
-to establish a common ground for the study and development of explainable and 
understandable autonomous agents, robots and Multi-Agent Systems (MAS), 
-to investigate the potential of agent-based systems in the development of 
personalized user-aware explainable AI, 
-to assess the impact of transparent and explained solutions on the user/agents 
behaviors, and 
-to discuss motivating examples and concrete applications in which the lack of 
explainability leads to problems, which would be resolved by explainability. 

Contributions are encouraged in both theoretical and practical applications for 
transparent and explainable intelligence in agents and MAS. 
Papers presenting theoretical contributions, designs, prototypes, tools, 
subjective user tests, assessment, new or improved techniques, 
and general survey papers tracking current evolutions and future directions are 


_Explainable Agents and Robots: 
-Explainable agent architectures 
-Personalized XAI 
-Explainable & Expressive robots 
-Explainable human-robot collaboration 
-Reinforcement Learning Agents 
-Multi-modal explanations 

_XAI & Ethics: 
-Social XAI 
-AI, ethics, and explainability 
-XAI vs AI 

_XAI & MAS: 
-Multi-actors interaction in XAI 
-XAI for agent/robots teams 
-Simulations for XAI 

_Interdisciplinary Aspects: 
-Cognitive and social sciences perspectives on explanations 
-HCI for XAI 
-Legal aspects of explainable agents 
-Explanation visualization 

_XAI Machine learning and Knowledge Representation: 
-Bridging symbolic and subsymbolic XAI 
-Knowledge generation from interpretations 
-Explanation visualization 
-Explainable knowledge generation 

Important Dates 

- Deadline for Submissions: 29 February 2020 (extended) 
- Notification of acceptance: 10 March 2020 
- Camera-ready: 1 April 2020 
- Workshop: 9 - 13 May 2020 


Submissions will be (single-blindly) reviewed by at least three members of the 
programme committee, who are experts in the field. 
The acceptance of the submitted papers will depend on their quality, relevance, 
and originality. 
To conduct this process, the chairs will rely on easychair to make the 
reviewing procedure traceable, transparent and accessible. 
In the case of accepted papers characterized by relevant demands (e.g., 
clarifications, changes, corrections) set by the reviewers, 
the final acceptance will be subject to their accomplishment. 

Accepted papers will 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 (4 
pages + 1 page reference for demo papers), addressing the topics of the 
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. 

Papers can either be: 
-Full papers (max. 16 pages LNCS style). 
-Demo papers (max. 4 pages LNCS style + 1 page references). 
Demo papers should describe implementations of explainable agents and 
multi-agent systems or explainable AI methods and algorithms that are 
applicable to explainable agents. 
The work presented in the demo paper should be practically applicable. 
The source code of the implementation should be shared, for example by 
providing a web link. 
The maximal length of a demo paper is 4 pages plus 1 page for references. 
Demos will be presented in a similar manner as ordinary papers; however, a demo 
presentation should be interactive and ideally show the running implementation 

Authors should consult Springer’s authors’ guidelines and use their proceedings 
templates, either for LaTeX or for Word, for the preparation of their papers. 
Springer encourages authors to include their ORCIDs in their papers. 
In addition, the corresponding author of each paper, acting on behalf of all of 
the authors of that paper, must complete and sign a Consent-to-Publish form. 
The corresponding author signing the copyright form should match the 
corresponding author marked on the paper. 
Once the files have been sent to Springer, changes relating to the authorship 
of the papers cannot be made. 

Workshop Chairs 

- Dr. Davide Calvaresi, HES-SO, Switzerland 
- Dr. Amro Najjar, University of Luxembourg, Luxembourg 
- Prof. Kary Främling, Umea University Sweden and Aalto University, Finland 
- Prof. Michael Winikoff, Victoria University Wellington 

Advisory Board 

- Prof. Virginia Dignum, Umea University, Sweden 
- Prof. Tim Miller, School of Computing and Information Systems at The 
University of Melbourne 
- Prof. Michael Ignaz Schumacher, HES-SO, Switzerland 
- Prof. Leon Van der Torre, University of Luxembourg, Luxembourg 

Assistant Chairs 

- Giovanni Ciatto, Università di Bologna 
- Timotheus Kampik, Umeå University, Signavio GmbH 

Publicity Chairs 

- Yazan Mualla, Univ. de Technologie de Belfort-Montbeliard, France 
- Dr. Avleen Malhi, Thapar Institute of Engineering & Technology 

Program Committee 

To be announced. 

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