MATES 2016

14th German Conference on Multiagent System Technologies

September 27 - 30, 2016

University of Klagenfurt, Klagenfurt, Austria

The MATES conference 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 2016 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 its Lecture Notes in Artificial Intelligence (LNAI) series

MATES 2016 incorporates the 6th International Workshop on Human-Agent-Robot Teamwork (HART 2016), and is co-located with the 39th German AI Conference (KI 2016) and the 46th Annual Symposium of the German Computer Science Association GI (INFORMATIK 2016).

Topics of Interest

MATES 2016 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-oriented software engineering, model-driven design of  multiagent systems
  • Agent communication languages
  • Autonomous robots and robot teams
  • Advanced theories of collaboration: Modelling and formationof agent teams, groups, coalitions, and organizations
  • Human-agent teamwork (Humans, software agents, robots, animals, animoids)
  • Multiagent systems: Conventions, norms, institutions, trust and reputation
  • Adaptive agents and multiagent learning
  • Agent-based planning and scheduling
  • Agent-based information retrieval
  • Agent-based distributed data mining
  • Agent-based service discovery, composition, negotiation
  • Agent-based simulation of complex systems and applications
  • Embodied conversational actors and believable agents, and user modelling
  • Recommender agents
  • 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
  • Mobile agents
  • Standards fo agents and multiagent systems
  • Prototyped or fielded agent-based applications in various domains (e.g. e-business, e-health, e-government, automotive, smart city, smart grids, renewable energy).


Supported by

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