Topics

Topics of interest of MATES 2009 include all aspects of agent-oriented computing and agent technologies: basic and applied research; reports on experiences with deployed real-world applications; and detailed visions and challenges for mid- to long-term pro-gress in the field grounded in experience reports or analyses of the overall technical, economical, and social context. MATES 2009 encourages specifically submissions from an emerging area of interest with a close connection to multi-agent systems: self-organizing systems and autonomic computing.

Topics of interest for MATES'09 include, but are not limited to:

• Adaptive agents and multi-agent learning
• Advanced theories of collaboration: Modelling and formation of teams, coalitions, groups, and organizations
• Self-organizing systems
• Agents and autonomic computing
• Agent and multi-agent architectures
• Agents and peer-to-peer computing
• Agents and pervasive computing
• Agent-based service discovery, matchmaking, brokering, and composition
• Agent communication languages
• Agents for e-business and e-government
• Agent technologies in the context of service-oriented computing and architectures
• Agent to non-agent interoperability
• Agents in novel applications, e.g. bioinformatics and the semantic Web
• Application of agent-technologies in industrial practice
• Artificial social systems: Conventions, norms, institutions; trust and reputation
• Autonomous robots and robot teams
• Commitment, delegation, responsibility, and obligations in artificial and hybrid societies
• Complex systems and their management
• Coordination, negotiation, argumentation, and conflict resolution
• Deployed agent-based business applications
• Hybrid human and agent societies
• User modeling and interface agents
• Embodied conversational agents and believable agents
• Mobile agents
• Model-driven design of multi-agent systems
• Multi-agent planning and scheduling
• Multi-agent platforms and tools
• Multi-agent (social) simulation and (cognitive) modelling with agents
• Practical aspects of programming agent systems: Robustness, scalability and performance measurement
• Robustness, fault tolerance, scalability and performance measurement
• Roles and structures, adaptive learning and cognition in organizational models
• Semantic of the dynamics of organizational models
• Standards for agents and multi-agent systems
• Agent-oriented software engineering