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Agent-Based Hybrid Intelligent Systems : An Agent-Based Framework for Complex Problem Solving :  An Agent-Based Framework for Complex Problem Solving - Zili Zhang

Agent-Based Hybrid Intelligent Systems : An Agent-Based Framework for Complex Problem Solving

An Agent-Based Framework for Complex Problem Solving

By: Zili Zhang (Editor), Chengqi Zhang (Editor)

Paperback

Published: January 2008
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Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems.This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.

Fundamentals of hybrid intelligent systems and agents
Introductionp. 3
Basics of hybrid intelligent systemsp. 13
Basics of agents and multi-agent systemsp. 29
Methodology and framework
Agent-oriented methodologiesp. 43
Agent-based framework for hybrid intelligent systemsp. 57
Matchmaking in middle agentsp. 65
Application systems
Agent-based hybrid intelligent system for financial investment planningp. 93
Agent-based hybrid intelligent system for data miningp. 127
Concluding remarks
The less the morep. 145
Sample source codes of the agent-based financial planning systemp. 149
Referencesp. 183
Indexp. 193
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540209089
ISBN-10: 3540209085
Series: Lecture Notes in Artificial Intelligence
Audience: Professional
Format: Paperback
Language: English
Number Of Pages: 194
Published: January 2008
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.3 x 15.5  x 1.17
Weight (kg): 0.69