Coordination of Large-Scale Multiagent Systems provides extensive coverage of the latest research and novel solutions being developed in the field. It describes specific systems, such as SERSE and WIZER, as well as general approaches based on game theory, optimization and other more theoretical frameworks. The book is comprised of several distinct topic areas, addressing:
Effects of Scaling Coordination
The Effects of Locality and Asymmetry in Large-Scale Multiagent MDPs
A Study of Scalability Properties in Robotic Teams
Comparing Three Approaches to Large-Scale Coordination
Scaling Existing Coordination Approaches
Decentralized Partner Finding in Multi-Agent Systems
Distributed Coordination of an Agent Society Based on Obligations and Commitments to Negotiated Agreements
A Family of Graphical-Game-Based Algorithms for Distributed Constraint Optimization Problems
Key-Based Coordination Strategies: Scalability Issues
Designing Agent Utilities for Coordinated, Scalable and Robust Multi-Agent Systems
New Approaches for Large Scale Coordination
Learning Scalable Coaltion Formation in an Organizational Content
Multi-Agent Coordination in Open Environments
Mobile Agents
WIZER: Automated Model Improvement in Multi-Agent Social-Network Systems
Robustness and Flexibility in Large-Scale Multi-Agent Systems
Handling Coordination Failures in Large-Scale Multi-Agent Systems
Towards Flexible Coordination of Large Scale Multi-Agent Teams
Techniques for Robust Planning in Degradable Multiagent Systems
This volume will be of interest to researchers in academia and industry, as well as advanced-level students. Represented here are the initial steps taken towards revolutionizing systems of large scale coordination for immediate and future challenges.
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