9781599041087

Architectural Design of Multi-Agent Systems: Technologies and Techniques

by
  • ISBN13:

    9781599041087

  • ISBN10:

    1599041081

  • Format: Hardcover
  • Copyright: 2007-05-30
  • Publisher: Igi Global

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Summary

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.

Table of Contents

Towards agent-oriented conceptualization and implementationp. 1
Concurrent programming with multi-agents and the chemical abstract machinep. 26
Coalition formation among agents in complex problems based on a combinatorial auction perspectivep. 48
A gentle introduction to fuzzy logic and its applications to intelligent agents designp. 61
Component agent systems : building a mobile agent architecture that you can reusep. 95
Designing a foundation for mobile agents in peer-to-peer networksp. 115
Dynamic scheduling of multi-agent in agent-based distributed network managementp. 125
Scalable fault tolerant agent grooming environment (SAGE)p. 143
Toward agent-based grid computingp. 173
MAITS : a multi-agent-based IT security approachp. 189
A methodology for modeling expert knowledge for development of agent-based systemsp. 210
Three perspectives on multi-agent reinforcement learningp. 234
Modeling knowledge and reasoning in conversational recommendation agentsp. 247
Task allocation in case-based recommender systems : a swarm intelligence approachp. 268
A multi-agent system for optimal supply chain managementp. 281
Macroscopic modeling of information flow in an agent-based electronic health record systemp. 305
Robust intelligent control of mobile robotsp. 335
RiskMan : a multi-agent system for risk managementp. 356
Table of Contents provided by Blackwell. All Rights Reserved.

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