Ebook: 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 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.

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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.

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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.

Content:
Front Matter....Pages i-vi
An Application Science for Multi-Agent Systems....Pages 1-5
Coordination Challenges for Autonomous Spacecraft....Pages 7-26
A Framework for Evaluation of Multi-Agent System Approaches to Logistics Network Management....Pages 27-39
Centralized VS. Decentralized Coordination: Two Application Case Studies....Pages 41-75
A Complex Systems Perspective on Collaborative Design....Pages 77-93
Multi-Agent System Interaction Protocols in a Dynamically Changing Environment....Pages 95-111
Challenges to Scaling-Up Agent Coordination Strategies....Pages 113-132
Roles in Mas....Pages 133-154
An Evolutionary Framework for Large-Scale Experimentation in Multi-Agent Systems....Pages 155-173
Application Characteristics Motivating Adaptive Organizational Capabilities Within Multi-Agent Systems....Pages 175-198
Applying Coordination Mechanisms for Dependency Relationships Under Various Environments....Pages 199-220
Performance Models for Large Scale Multi-Agent System: A Distributed Pomdp-Based Approach....Pages 221-243
Back Matter....Pages 245-251

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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.

Content:
Front Matter....Pages i-vi
An Application Science for Multi-Agent Systems....Pages 1-5
Coordination Challenges for Autonomous Spacecraft....Pages 7-26
A Framework for Evaluation of Multi-Agent System Approaches to Logistics Network Management....Pages 27-39
Centralized VS. Decentralized Coordination: Two Application Case Studies....Pages 41-75
A Complex Systems Perspective on Collaborative Design....Pages 77-93
Multi-Agent System Interaction Protocols in a Dynamically Changing Environment....Pages 95-111
Challenges to Scaling-Up Agent Coordination Strategies....Pages 113-132
Roles in Mas....Pages 133-154
An Evolutionary Framework for Large-Scale Experimentation in Multi-Agent Systems....Pages 155-173
Application Characteristics Motivating Adaptive Organizational Capabilities Within Multi-Agent Systems....Pages 175-198
Applying Coordination Mechanisms for Dependency Relationships Under Various Environments....Pages 199-220
Performance Models for Large Scale Multi-Agent System: A Distributed Pomdp-Based Approach....Pages 221-243
Back Matter....Pages 245-251
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