EXTENDED CALL FOR PAPERS The 1st International Workshop on EXplainable, TRansparent, Autonomous Agents and Multi-Agent Systems (EXTRAAMAS-19)
In conjunction with the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019) 13th and 14th of May 2019 in Montreal, Canada. https://extraamas.ehealth.hevs.ch ------------------------------------------------------------------------------------------- Description ========== The aim of the EXTRAAMAS-19 workshop is to: - Establish a common ground for the study and development of explainable and understandable autonomous agents, robots and multi-agent systems, - Investigate the potential of agent-based systems in the development of personalized user-aware explainable AI, - Assess the impact of transparent and explained solutions on user/agents behaviors, and - Discuss motivating examples and concrete applications in which the lack of explainability leads to problems that can be resolved by explainability. ---------------------------------------------- Topics ====== The main topics of the EXTRAAMAS-19 workshop are (but not restricted to): - Explainable agent architectures - Adaptive and personalized explainable agents - Explainable human-robot interaction - Expressive robots - Explainable planning - Explanation visualization - Explainable agents’ applications: (e-health, smart environment, driving companion, recommender systems, coaching agents, etc.) - Explainable agents’ applications: (e-health, smart environment, driving companion, recommender systems, coaching agents, etc.) - Reinforcement learning agents - Cognitive and social sciences perspectives on explanations - Legal aspects of explainable agents ---------------------------------------------- Important Dates ============== - Deadline for Submissions: February 26, 2019 (Extended) - Notification of acceptance: March 10, 2019 - Camera-ready: April 1, 2019 - Workshop: May 13-14, 2019 ---------------------------------------------- Submission ========= Submissions will be 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 proceedings Lecture Notes in Artificial Intelligence (LNAI). Participants are therefore invited to submit papers up to 16 pages in length, addressing the topics of the workshop. Papers must be edited using the LNCS format (applying the LNCS proceedings template), and have to be submitted electronically as PDF files via the EasyChair submission page. The top papers will be published in Special Issue of a journal with a relevant impact factor (to be announced). ---------------------------------------------- Program Chairs ============= - Kary Främling (Umeå University, Sweden / Aalto University, Finland) - Davide Calvaresi (University of Applied Sciences Western Switzerland (HES-SO), Switzerland) - Amro Najjar (Umeå University, Sweden) - Michael Schumacher (University of Applied Sciences Western Switzerland (HES-SO), Switzerland) ---------------------------------------------- Advisory Board ============= - Virginia Dignum (Umeå University, Sweden) - Tim Miller (University of Melbourne, Australia) - Catholijn M. Jonker (TU Delft / LIACS Leiden University, The Netherlands) ---------------------------------------------- Publicity Chairs ============== - Yazan Mualla (Univ. de Technologie de Belfort-Montbeliard, France) - Timotheus Kampik (Umeå University, Sweden) ---------------------------------------------- Program Committee ================= To be announced.
_______________________________________________ Haskell mailing list Haskell@haskell.org http://mail.haskell.org/cgi-bin/mailman/listinfo/haskell
