The MATES conference series aims at the promotion of and the cross-fertilization between theory and application of intelligent agents and multiagent systems. It provides an interdisciplinary forum for researchers and members of business and industry to present and discuss latest advances in agent-based computing with prototyped or fielded systems in various application domains. MATES 2017 will offer a competitive set of special topical sessions, invited keynotes by distinguished experts, and issues a Best Paper Award. The MATES conference series is ERA/CORE top-ranked in the field of agent technologies, and its proceedings are published by Springer in the LNAI (Lecture Notes in Artificial Intelligence) subseries of the LNCS (Lecture Notes in Computer Science) series.
MATES 2017 is co-located with
- 19-04-2017: Submission deadline extended to Sun, May 7, 2017. This extension is final.
- 19-04-2017: Keynote speaker information extended.
- 24-03-2017: Preliminary conference program added.
- 21-03-2017: Keynote speakers confirmed. Cristiano Castelfranchi will talk at MATES 2017 about Cognition & Self-Organization in a Hybrid Society & Coupled Reality: The role of AI.
Topics of Interest
MATES 2017 covers all areas of intelligent agents and multiagent system technologies. The topics of interest include, but are not limited to:
- Multiagent platforms and tools
- Agent communication languages
- Standards for agents and multiagent systems
- Agent-oriented software engineering, model-driven design of multiagent systems
- Multiagent systems: Conventions, norms, institutions, trust and reputation
- Advanced theories of collaboration: Modelling and formation of agent teams, groups, coalitions, and organizations
- Adaptive agents and multiagent learning
- Agent-based simulation of complex systems and applications
- Agent-based modeling and social simulation
- Mobile agents
- Autonomous robots and robot teams
- Human-agent teamwork (Humans, software agents, robots, animals, animoids)
- Embodied conversational actors and believable agents, and user modelling
- Recommender agents
- Agent-based planning and scheduling
- Agent-based information retrieval
- Agent-based distributed data mining
- Agent-based service discovery, composition, negotiation
- Agents for the semantic Web
- Agents for the social Web
- Agents for the Internet of Services
- Agents for the Internet of Things, pervasive computing
- Agents for cloud computing
- Ethical aspects of (multi)agent systems design and deployment
- Prototyped or fielded agent-based applications in various domains (e.g. e-business, e-health, e-government, automotive, smart city, smart grids, renewable energy).