Architectural Design of Multi-Agent Systems: Technologies and Techniques

Architectural Design of Multi-Agent Systems: Technologies and Techniques

Hong Lin (University of Houston-Downtown, USA)
Indexed In: SCOPUS View 1 More Indices
Release Date: May, 2007|Copyright: © 2007 |Pages: 442
DOI: 10.4018/978-1-59904-108-7
ISBN13: 9781599041087|ISBN10: 1599041081|EISBN13: 9781599041100
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Agent-based distributed network management
  • Agent-based electronic health record system
  • Agent-based grid computing
  • Agent-oriented conceptualization and implementation
  • Case-based recommender systems
  • Coalition formation among agents
  • Component agent systems
  • Concurrent programming with multi-agents
  • Conversational recommendation agents
  • Designing a foundation for mobile agents
  • Development of agent-based systems
  • Dynamic scheduling of multi-agent
  • Fuzzy Logic
  • Intelligent agents design
  • Macroscopic modeling
  • MAITS: a multiagent based it security approach
  • Multi-agent reinforcement learning
  • Optimal supply chain management
  • Peer-to-Peer Networks
  • Riskman: a multi-agent system for risk management
  • Robust intelligent control of mobile robots
  • Scalable fault tolerant agent grooming environment (SAGE)
Reviews & Statements

This book presents eighteen papers in this compilation of current practical and theoretical research on multi-agent software systems.

– Book News Inc. (September 2007)
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Editor/Author Biographies
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.
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