A key unifying theme underlying Artificial Intelligence and Machine Learning is the idea of an intelligent agent able to reason, act, interact, and learn. This metaphor has stimulated much research in AI and particularly in Autonomous Agents and Multi-Agent Systems (MAS), giving rise to research in agent-oriented software engineering, programming multi-agent systems, and declarative agent languages and technologies.

The EMAS workshop series has been held as part of AAMAS since 2013, and was previously affiliated to AAMAS through AOSE, ProMAS, and DALT since the first AAMAS in 2002. 

EMAS 2021 will provide a forum for researchers and practitioners in the domains of agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning to present and discuss their research and emerging results in engineering MAS. The workshop aims to facilitate the cross-fertilisation of ideas and experiences in these fields to:

  • enhance our knowledge of the theory and practice of engineering intelligent agents and multi-agent systems, and advance the state of the art;
  • demonstrate how MAS methodologies, architectures, languages and tools can be used in the engineering of deployed large-scale and open MAS;
  • define new directions for engineering MAS by drawing on results and recommendations from related research areas; and
  • encourage PhD and Masters students to become involved in and contribute to the area.

 As AAMAS 2021 will be a virtual event, EMAS 2021 will adopt a virtual format a similar to that used for EMAS 2020

NEW!! EMAS 2021 Post-Proceedings have been published by Springer in the LNAI Series, click here!