NEW: post-proceedings available as Springer LNCS 12589.
A main 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 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.
This workshop aims to be of interest for those researchers and practitioners interested in the theory and practice of engineering intelligent agents and multi-agent systems, i.e. in theories, architectures, languages, platforms, and methodologies for designing, implementing, and running intelligent agents and multi-agent systems.
EMAS 2020 aims to gather 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 MAS engineering. The overall purpose of this workshop is to facilitate the cross-fertilisation of ideas and experiences in the various fields to:
- Enhance our knowledge and expertise in MAS engineering and improve the state of the art;
- Define new directions for MAS engineering that are useful to practitioners, relying in results and recommendations coming from different but continuous research areas;
- Investigate how practitioners can use or need to adapt established methodologies for the engineering of large-scale and open MAS;
- Encourage masters and PhD students, to become involved in and contribute to the area.
EMAS 2020 will appeal to any researcher and practitioner who is interested in the theoretical and practical aspects of agents and MAS engineering.