Autonomous Dynamic Reconfiguration in Multi-Agent Systems Improving the Quality and Efficiency of Collaborative Problem Solving /

• Main Author: Hannebauer, Markus (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
• Edition: 1st ed. 2002.
• Series: Lecture Notes in Artificial Intelligence ; 2427
• Subjects: Artificial intelligence.; Computer communication systems.; Programming languages (Electronic computers).; Application software.; Computers and civilization.; Information technology.; Business-Data processing.; Artificial Intelligence.; Computer Communication Networks.; Programming Languages, Compilers, Interpreters.; Information Systems Applications (incl. Internet).; Computers and Society.; IT in Business.

High communication efforts and poor problem solving results due to restricted overview are two central issues in collaborative problem solving. This work addresses these issues by introducing the processes of agent melting and agent splitting that enable individual problem solving agents to continua...

Table of Contents:

• 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.