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lgli/Cs_Computer science/CsLn_Lecture notes/A/Agent-Based Hybrid Intelligent Systems.. An Agent-Based Framework for Complex Problem Solving(LNCS2938, Springer, 2004)(ISBN 3540209085)(196s)_CsLn_.pdf
Lecture Notes in Artificial Intelligence 2938 Agent-Based Hybrid Intelligent Systems An Agent-Based Framework for Complex Problem Solving 🔍
Zili Zhang, Chengqi Zhang (auth.) Springer-Verlag Berlin Heidelberg, Lecture Notes in Computer Science, Lecture Notes in Computer Science 2938 : Lecture Notes in Artificial Intelligence, 1, 2004
英语 [en] · PDF · 0.8MB · 2004 · 📘 非小说类图书 · 🚀/duxiu/lgli/lgrs/nexusstc/scihub/zlib · Save
描述
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.
备用文件名
lgrsnf/Cs_Computer science/CsLn_Lecture notes/A/Agent-Based Hybrid Intelligent Systems.. An Agent-Based Framework for Complex Problem Solving(LNCS2938, Springer, 2004)(ISBN 3540209085)(196s)_CsLn_.pdf
备用文件名
nexusstc/Agent-Based Hybrid Intelligent Systems/5d224ab7c934ef5deffac534d68a3778.pdf
备用文件名
scihub/10.1007/b95170.pdf
备用文件名
zlib/Computers/Computer Science/Zili Zhang, Chengqi Zhang (auth.)/Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving_766308.pdf
备选标题
Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving (Lecture Notes in Computer Science (2938))
备选标题
Agent-based hybrid intelligent systems : an agent-based fromework for complex problem solving
备选标题
Agent based hybrid intelligent systems an agent based framework for complex problem solving
备选作者
Zhang, Zili Ph.D
备用出版商
Springer Berlin Heidelberg : Imprint : Springer
备用出版商
Springer Spektrum. in Springer-Verlag GmbH
备用出版商
Steinkopff. in Springer-Verlag GmbH
备用出版商
Springer London, Limited
备用版本
Lecture notes in computer science -- 2938. -- Lecture notes in artificial intelligence, Lecture notes in computer science -- 2938., Lecture notes in computer science, New York, New York State, 2004
备用版本
Lecture notes in computer science, 1st ed. 2004, Berlin, Heidelberg, 2004
备用版本
Lecture notes in computer science -- 2938, Berlin, London, England, 2004
备用版本
Lecture notes in computer science, 2938, Berlin ; New York, ©2004
备用版本
Lecture notes in computer science, Vol. 2938, Berlin, 2004
备用版本
1 edition, March 19, 2004
备用版本
Germany, Germany
备用版本
2004, PS, 2004
元数据中的注释
Kolxo3
元数据中的注释
lg340723
元数据中的注释
{"container_title":"Lecture Notes in Computer Science","edition":"1","isbns":["3540209085","3540246231","9783540209089","9783540246237"],"issns":["0302-9743","1611-3349"],"last_page":194,"publisher":"Springer","series":"Lecture Notes in Computer Science 2938 : Lecture Notes in Artificial Intelligence"}
元数据中的注释
Includes index.
元数据中的注释
Includes bibliographical references and index.
备用描述
<p>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.</p><p>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.</p>
备用描述
Front Matter....Pages -
Front Matter....Pages 1-1
1 Introduction....Pages 3-11
2 Basics of Hybrid Intelligent Systems....Pages 13-28
3 Basics of Agents and Multi-agent Systems....Pages 29-39
Front Matter....Pages 41-41
4 Agent-Oriented Methodologies....Pages 43-55
5 Agent-Based Framework for Hybrid Intelligent Systems....Pages 57-64
6 Matchmaking in Middle Agents....Pages 65-90
Front Matter....Pages 91-91
7 Agent-Based Hybrid Intelligent System for Financial Investment Planning....Pages 93-125
8 Agent-Based Hybrid Intelligent System for Data Mining....Pages 127-142
Front Matter....Pages 143-143
9 The Less the More....Pages 145-147
Appendix: Sample Source Codes of the Agent-Based Financial Planning System....Pages 149-181
References....Pages 183-191
Back Matter....Pages -
备用描述
Solving complex problems, such as financial investment planning, foreign exchange trading, and knowledge discovery from large/multiple databases, involves many different components or sub-tasks, each of which requires different types of processing.
备用描述
Keine Beschreibung vorhanden.
Erscheinungsdatum: 28.01.2004
开源日期
2011-01-23
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