<html><body><div style="font-family: trebuchet ms,sans-serif; font-size: 12pt; color: #000000"><div><div>CALL FOR PAPERS</div><div><br></div><div>The 2nd International Workshop on EXplainable, TRansparent Autonomous Agents and Multi-Agent Systems (EXTRAAMAS 2020)</div><div><br></div><div>In conjunction with the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020)</div><div><br></div><div>Auckland, New Zealand, 9 - 13 May 2020</div><div><br></div><div>https://extraamas.ehealth.hevs.ch/index.html</div><div><br></div><div>-------------------------------------------------------------------------------------------</div><div>Description</div><div>==========</div><div><br></div><div>The main aim of this second “International workshop on EXplainable TRansparent Autonomous Agents and Multi-Agent Systems” (EXTRAAMAS) is four-folded:</div><div>-to establish a common ground for the study and development of explainable and understandable autonomous agents, robots and Multi-Agent Systems (MAS),</div><div>-to investigate the potential of agent-based systems in the development of personalized user-aware explainable AI,</div><div>-to assess the impact of transparent and explained solutions on the user/agents behaviors, and</div><div>-to discuss motivating examples and concrete applications in which the lack of explainability leads to problems, which would be resolved by explainability.</div><div><br></div><div>Contributions are encouraged in both theoretical and practical applications for transparent and explainable intelligence in agents and MAS. </div><div>Papers presenting theoretical contributions, designs, prototypes, tools, subjective user tests, assessment, new or improved techniques, </div><div>and general survey papers tracking current evolutions and future directions are welcome.</div><div><br></div><div>----------------------------------------------</div><div>Topics</div><div>======</div><div><br></div><div>_Explainable Agents and Robots:</div><div>-Explainable agent architectures </div><div>-Personalized XAI </div><div>-Explainable & Expressive robots </div><div>-Explainable human-robot collaboration </div><div>-Reinforcement Learning Agents </div><div>-Multi-modal explanations</div><div><br></div><div>_XAI & Ethics:</div><div>-Social XAI </div><div>-AI, ethics, and explainability </div><div>-XAI vs AI</div><div><br></div><div>_XAI & MAS:</div><div>-Multi-actors interaction in XAI </div><div>-XAI for agent/robots teams </div><div>-Simulations for XAI</div><div><br></div><div>_Interdisciplinary Aspects:</div><div>-Cognitive and social sciences perspectives on explanations </div><div>-HCI for XAI </div><div>-Legal aspects of explainable agents </div><div>-Explanation visualization</div><div><br></div><div>_XAI Machine learning and Knowledge Representation:</div><div>-Bridging symbolic and subsymbolic XAI </div><div>-Knowledge generation from interpretations </div><div>-Explanation visualization </div><div>-Explainable knowledge generation</div><div><br></div><div>----------------------------------------------</div><div>Important Dates</div><div>==============</div><div><br></div><div>- Deadline for Submissions: 29 February 2020 (extended)</div><div>- Notification of acceptance: 10 March 2020</div><div>- Camera-ready: 1 April 2020</div><div>- Workshop: 9 - 13 May 2020</div><div><br></div><div>----------------------------------------------</div><div>Submission</div><div>=========</div><div><br></div><div>Submissions will be (single-blindly) reviewed by at least three members of the programme committee, who are experts in the field. </div><div>The acceptance of the submitted papers will depend on their quality, relevance, and originality.</div><div>To conduct this process, the chairs will rely on easychair to make the reviewing procedure traceable, transparent and accessible. </div><div>In the case of accepted papers characterized by relevant demands (e.g., clarifications, changes, corrections) set by the reviewers, </div><div>the final acceptance will be subject to their accomplishment.</div><div><br></div><div>Accepted papers will be published in the Springer post-proceedings Lecture Notes in Artificial Intelligence (LNAI). </div><div>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 workshop. </div><div>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.</div><div><br></div><div>Papers can either be:</div><div>-Full papers (max. 16 pages LNCS style).</div><div>-Demo papers (max. 4 pages LNCS style + 1 page references). </div><div>Demo papers should describe implementations of explainable agents and multi-agent systems or explainable AI methods and algorithms that are applicable to explainable agents. </div><div>The work presented in the demo paper should be practically applicable. </div><div>The source code of the implementation should be shared, for example by providing a web link. </div><div>The maximal length of a demo paper is 4 pages plus 1 page for references. </div><div>Demos will be presented in a similar manner as ordinary papers; however, a demo presentation should be interactive and ideally show the running implementation "live".</div><div>----------------------------------------------</div><div>Post-proceedings</div><div>================</div><div><br></div><div>Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. </div><div>Springer encourages authors to include their ORCIDs in their papers. </div><div>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. </div><div>The corresponding author signing the copyright form should match the corresponding author marked on the paper. </div><div>Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.</div><div><br></div><div>----------------------------------------------</div><div>Workshop Chairs</div><div>===============</div><div><br></div><div>- Dr. Davide Calvaresi, HES-SO, Switzerland</div><div>- Dr. Amro Najjar, University of Luxembourg, Luxembourg</div><div>- Prof. Kary Främling, Umea University Sweden and Aalto University, Finland</div><div>- Prof. Michael Winikoff, Victoria University Wellington</div><div><br></div><div>----------------------------------------------</div><div>Advisory Board</div><div>==============</div><div><br></div><div>- Prof. Virginia Dignum, Umea University, Sweden</div><div>- Prof. Tim Miller, School of Computing and Information Systems at The University of Melbourne</div><div>- Prof. Michael Ignaz Schumacher, HES-SO, Switzerland</div><div>- Prof. Leon Van der Torre, University of Luxembourg, Luxembourg</div><div><br></div><div>----------------------------------------------</div><div>Assistant Chairs</div><div>================</div><div><br></div><div>- Giovanni Ciatto, Università di Bologna</div><div>- Timotheus Kampik, Umeå University, Signavio GmbH</div><div><br></div><div>Publicity Chairs</div><div>================</div><div><br></div><div>- Yazan Mualla, Univ. de Technologie de Belfort-Montbeliard, France</div><div>- Dr. Avleen Malhi, Thapar Institute of Engineering & Technology</div><div><br></div><div>----------------------------------------------</div><div>Program Committee</div><div>=================</div><div><br></div><div>To be announced.</div><div><br></div></div></div></body></html>