An Application Science for Multi-Agent Systems
An Application Science For Multi-Agent Systems addresses the complexity of choosing which multi-agent control technologies are appropriate for a given problem domain or a given application. Without such knowledge, when faced with a new application domain, agent developers must rely on past experienc...
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Format: | Electronic eBook |
Language: | English |
Published: |
Boston, MA :
Springer US,
2004.
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Series: | Multiagent Systems, Artificial Societies, and Simulated Organizations,
10 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- An Application Science for Multi-Agent Systems
- Coordination Challenges for Autonomous Spacecraft
- A Framework for Evaluation of Multi-Agent System Approaches to Logistics Network Management
- Centralized VS. Decentralized Coordination: Two Application Case Studies
- A Complex Systems Perspective on Collaborative Design
- Multi-Agent System Interaction Protocols in a Dynamically Changing Environment
- Challenges to Scaling-Up Agent Coordination Strategies
- Roles in Mas
- An Evolutionary Framework for Large-Scale Experimentation in Multi-Agent Systems
- Application Characteristics Motivating Adaptive Organizational Capabilities Within Multi-Agent Systems
- Applying Coordination Mechanisms for Dependency Relationships Under Various Environments
- Performance Models for Large Scale Multi-Agent System: A Distributed Pomdp-Based Approach.