E-Book, Englisch, 234 Seiten, eBook
Schillo / Klusch / Müller Multiagent System Technologies
2003
ISBN: 978-3-540-39869-1
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
First German Conference, MATES 2003, Erfurt, Germany, September 22-25, 2003, Proceedings
E-Book, Englisch, 234 Seiten, eBook
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-540-39869-1
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.