Overview

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 experience and intuition to determine whether a multi-agent system is the right approach, and if so, how to structure the agents, how to decompose the problem, and how to coordinate the activities of the agents, and so forth. This unique collection of contributions, written by leading international researchers in the agent community, provides valuable insight into the issues of deciding which technique to apply and when it is appropriate to use them. The contributions also discuss potential trade-offs or caveats involved with each decision. An Application Science For Multi-Agent Systems is an excellent reference for anyone involved in developing multi-agent systems.

Full Product Details

Author:   Thomas A. Wagner
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2004
Volume:   10
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.403kg
ISBN:  

9781475779233

ISBN 10:   1475779232
Pages:   251
Publication Date:   26 March 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

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.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions