Multiagent System Technologies

This book constitutes the refereed proceedings of the First German Conference on Multiagent System Technologies, MATES 2003, held in Erfurt, Germany, in September 2003. The 18 revised full papers presented together with an invited paper were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on engineering agent-based systems, systems and applications, models and architectures, the semantic Web and interoperability, and collaboration and negotiation.

Inhalt

Engineering Agent-Based Systems.- The AgentComponent Approach, Combining Agents, and Components.- From Simulated to Real Environments: How to Use SeSAm for Software Development.- Indicators for Self-Diagnosis: Communication-Based Performance Measures.- Systems and Applications (1).- The AEP Toolkit for Agent Design and Simulation.- On Programming Information Agent Systems - An Integrated Hotel Reservation Service as Case Study.- Applying Agents for Engineering of Industrial Automation Systems.- Systems and Applications (2).- SimMarket: Multiagent-Based Customer Simulation and Decision Support for Category Management.- A Multi-agent Approach to the Design of an E-medicine System.- Implementing Heterogeneous Agents in Dynamic Environments, a Case Study in RoboCupRescue.- Models and Architectures.- Model for Simultaneous Actions in Situated Multi-agent Systems.- Handling Sequences of Belief Change in a Multi-agent Context.- From the Specification of Multiagent Systems by Statecharts to Their Formal Analysis by Model Checking: Towards Safety-Critical Applications.- The Semantic Web and Issues of Inter-operability.- The SWAP Data and Metadata Model for Semantics-Based Peer-to-Peer Systems.- An Ontology for Production Control of Semiconductor Manufacturing Processes.- Ontology-Based Capability Management for Distributed Problem Solving in the Manufacturing Domain.- Using the Publish-Subscribe Communication Genre for Mobile Agents.- Issues of Collaboration and Negotiation.- Multiagent Matching Algorithms with and without Coach.- Improving Evolutionary Learning of Cooperative Behavior by Including Accountability of Strategy Components.- The C-IPS Agent Architecture for Modeling Negotiating Social Agents.