EXplainable, TRansparent Autonomous Agents and Multi-Agent Systems
The main aim of this first “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 welcome.
Participants are invited to submit papers on all research and application aspects of explainable and transparent intelligence in agents and multi-agent system, including, but not limited to: