Control Coordination of Multiple Agents Through Decision Theoretic and Economic Methods
Abstract
The control and coordination of multi-agent systems is a major scientific and technological challenge. When facing large-scale multi-agent settings where the agents are to act in flexible, hostile and distributed environments-such as those faced in military domains-the design of effective techniques for dealing with control, coordination, competition, and adaptation becomes a task of great importance. In recent years there has been growing interest in the application of methods and approaches from economics, for example the application of classic solutions from the theory of economic mechanism design to task allocation in non-cooperative dynamic environments. However, traditional economic methods lack many ingredients that are essential to make them applicable to large-scale computational multi-agent systems. In our work we tackle some of these basic issues.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 2003
- Accession Number
- ADA412242
Entities
People
- Yoav Shoham
Organizations
- Stanford University