Buch, Englisch, 290 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 476 g
Improving the Quality and Efficiency of Collaborative Problem Solving
Buch, Englisch, 290 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 476 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-540-44312-4
Verlag: Springer Berlin Heidelberg
The author provides a sound theoretical foundation of collaborative problem solving itself and introduces various new design concepts and techniques to improve its quality and efficiency, such as the multi-phase agreement finding protocol for external problem solving, the composable belief-desire-intention agent architecture, and the distribution-aware constraint specification architecture for internal problem solving.
The practical relevance and applicability of the concepts and techniques provided are demonstrated by using medical appointment scheduling as a case study.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware SAP
- Mathematik | Informatik EDV | Informatik Technische Informatik Systemverwaltung & Management
- Mathematik | Informatik EDV | Informatik Technische Informatik Externe Speicher & Peripheriegeräte
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Prozedurale Programmierung
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
Weitere Infos & Material
1.Overview.- 2. Basics of Collaborative Problem Solving.- Theoretical Foundations.- 3. Distributed Constraint Problems — A Model for Collaborative Problem Solving.- 4. Autonomous Dynamic Reconfiguration — Improving Collaborative Problem Solving.- Practical Concepts.- 5. Multi-agent System Infrastructure.- 6. External Constraint Problem Solving.- 7. Composable BDI Agents.- 8. Internal Constraint Problem Solving.- 9. Controlling Agent Melting and Agent Splitting.- Assessment.- 10. Evaluation.- 11. Conclusion and Future Work.- A. Symbols and Abbreviations.- B. An XML-Encoded Request Message.- C. SICStus Prolog Code for Internal Constraint Problem Solving.- D. Initialization of the Hospital Scenario Generator.