Multiagent System Technologies 8th German Conference, MATES 2010, Leipzig, Germany, September 27-29, 2010 Proceedings /
Clasificación: | Libro Electrónico |
---|---|
Autor Corporativo: | |
Otros Autores: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
|
Edición: | 1st ed. 2010. |
Colección: | Lecture Notes in Artificial Intelligence,
6251 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Invited Talks
- Tournament Solutions and Their Applications to Multiagent Decision Making
- Research Challenges in Simulation Aided Design of Complex Multi-agent Systems
- Models and Specifications
- A Model Driven Development of Platform-Neutral Agents
- A Novel Formal Specification Approach for Real Time Multi-Agent System Functional Requirements
- Do You Get It? User-Evaluated Explainable BDI Agents
- Trust, Norms and Reputation
- Reputation in Multi Agent Systems and the Incentives to Provide Feedback
- Normative Deliberation in Graded BDI Agents
- Inducing Desirable Behaviour through an Incentives Infrastructure
- Models, Tools and Architectures
- SONAR/OREDI: A Tool for Creation and Deployment of Organisation Models
- Enhancing the Interoperability between Multiagent Systems and Service-Oriented Architectures through a Model-Driven Approach
- Unifying Agent and Component Concepts
- Applications I
- Impact of Competition on Quality of Service in Demand Responsive Transit
- Towards Distributed Agent Environments for Pervasive Healthcare
- Context-Aware Route Planning
- Coordination and Learning
- Social Conformity and Its Convergence for Reinforcement Learning
- COLYPAN: A Peer-to-Peer Architecture for a Project Management Collaborative Learning System
- Preference Generation for Autonomous Agents
- Evaluation of Techniques for a Learning-Driven Modeling Methodology in Multiagent Simulation
- Applications II
- Price Prediction in Sports Betting Markets
- Modelling Distributed Network Security in a Petri Net- and Agent-Based Approach.