๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

An Application Science for Multi-Agent Systems

โœ Scribed by T. Wagner


Publisher
Kluwer
Year
2004
Tongue
English
Leaves
258
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Table of Contents


Cover......Page 1
Table Of Contents......Page 6
An Application Science for Multi-Agent Systems......Page 8
Coordination Challenges for Autonomous Spacecraft......Page 14
A Framework for Evaluation of Multi-Agent System Approaches to Logistics Network Management......Page 34
Centralized Versus Decentralized Coordination: Two Application Case Studies......Page 48
A Complex Systems Perspective on Collaborative Design......Page 84
Multi-Agent System Interaction Protocols in a Dynamically Changing Environment......Page 102
Challenges to Scaling-Up Agent Coordination Strategies......Page 120
Roles in MAS: Managing the Complexity of Tasks and Environments......Page 140
An Evolutionary Framework for Large-Scale Experimentation in Multi-Agent Systems......Page 162
Application Characteristics Motivating Adaptive Organizational Capabilities within Multi-Agent Systems......Page 182
Applying Coordination Mechanisms for Dependency Relationships under Various Environments......Page 206
Performance Models for Large Scale Multi-Agent Systems: A Distributed POMDP-Based Approach......Page 228
Index......Page 252


๐Ÿ“œ SIMILAR VOLUMES


An Application Science for Multi-Agent S
โœ Tom Wagner (auth.), Thomas A. Wagner (eds.) ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› Springer US ๐ŸŒ English

<p><P><STRONG>An Application Science For Multi-Agent Systems</STRONG> 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

An Application Science for Multi-Agent S
โœ Wagner T.A. (ed.) ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› Springer ๐ŸŒ English

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

Multi-agent systems: simulation and appl
โœ Adelinde M. Uhrmacher, Danny Weyns ๐Ÿ“‚ Library ๐Ÿ“… 2009 ๐Ÿ› CRC Press/Taylor & Francis ๐ŸŒ English

<P><STRONG>Methodological Guidelines for Modeling and Developing MAS-Based Simulations </P> <P></P> <P>The intersection of agents, modeling, simulation, and application domains has been the subject of active research for over two decades. Although agents and simulation have been used effectively in

Multi-Agent Systems: Simulation and Appl
โœ R Tyrrell Rockafellar ๐Ÿ“‚ Library ๐Ÿ“… 2009 ๐Ÿ› Princeton University Press, Springer, CRC Press ๐ŸŒ English

<p><i>Cooperative Control of Multi-Agent Systems</i> extends optimal control and adaptive control design methods to multi-agent systems on communication graphs. It develops Riccati design techniques for general linear dynamics for cooperative state feedback design, cooperative observer design, and c