Architectural Design of Multi-Agent Systems: Technologies and Techniques: Technologies and Techniques

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Lin, Hong
Idea Group Inc (IGI), May 31, 2007 - Computers - 442 pages

Agent-oriented design has become on of the most active areas in the field of software engineering. Although great advances have been made in the study of the architectural design of agent systems, the complexity and multi-disciplinary approaches of this constantly growing field are currently of a premature nature compared to where they should be.

Architectural Design of Multi-Agent Systems: Technologies and Techniques provides a compilation of advanced research results focusing on architecture and modeling issues of multi-agent systems. This study serves as a reference for further research on system models, architectural design languages, formal methods and reasoning, module interface design, and design issues. Architectural Design of Multi-Agent Systems: Technologies and Techniques presents high-level issues such as: modeling agent systems in cognitive sciences, knowledge management, in-depth exposure of agent theory, and state-of-the-art research on design quality of agent systems.

 

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Architectural Design of Multi-Agent Systems: Technologies and Techniques (Premier Reference Series)

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In this first publication devoted entirely to the complex subject of multiagent systems, Lin (computer science, Univ. of Houston) organizes the work of 51 international field experts thematically ... Read full review

Contents

Chapter II Concurrent Programming with MultiAgents and the Chemical Abstract Machine
13
Chapter III Coalition Formation Among Agents in Complex Problems Based on a Combinational Auction Perspective
48
Chapter IV A Gentle Introduction to Fuzzy Logic and Its Applications to Intelligent Agents Design
61
Section II AgentOriented System Design
94
Building a Mobile Agent Architecture That You Can Reuse
95
Chapter VI Designing a Foundation for Mobile Agents in PeertoPeer Networks
115
Chapter VII Dynamic Scheduling of MultiAgent in AgentBased Distributed Network Management
125
Chapter VIII Scalable Fault Tolerant Agent Grooming Environment SAGE
143
Chapter XII Three Perspectives on MultiAgent Reinforcement Learning
234
Chapter XIII Modeling Knowledge and Reasoning in Conversational Recommendation Agents
247
A Swarm Intelligence Approach
268
Section IV Applications of MultiAgent Systems
280
Chapter XV A MultiAgent System for Optimal Supply Chain Management
281
Chapter XVI Macroscopic Modeling of Information Flow in an AgentBased Electronic Health Record System
305
Chapter XVII Robust Intelligent Control of Mobile Robots
335
A MultiAgent System for Risk Management
356

Chapter IX Toward AgentBased Grid Computing
173
A MultiAgentBased IT Security Approach
189
Section III AgentBased Intelligent Systems
209
Chapter XI A Methodology for Modeling Expert Knowledge for Development of AgentBased Systems
210
Compilation of References
364
About the Contributors
364
Index
364
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About the author (2007)

Hong Lin received his Ph. D. degree in computer science from the University of Science and Technology of China in 1997. He is currently an Assistant Professor of Computer Science at the University of Houston-Downtown and the chairperson of the Computer Science Curriculum Committee. His research interests include multi-agent systems, parallel/distributed computing, and formal methods. He has recently studied the application of the chemical reaction model in multi-agent system specification and derivation. His research results have been published in several papers in professional journals and conference proceedings. [Editor]

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