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Synopsis
The book uses ideas from machine learning and artificial intelligence to provide the models of emergent system. This task falls into an extensive category of hybrid complex systems, which, broadly speaking, can be said to be the science of constructing models that describe the emergence; where we will introduce new approaches based on rough sets combined with neural networks, genetic programming, and multi-agents. Moreover, the constructions of some cellular systems, in which cellular automata will be integrated with rough sets and multi-agents, are presented also. The main value of the study is that it provides an illustration of how simple learning processes may lead to the formation of the agent behavior, which can give an emergence to the system. By allowing the task environment to be an integral component of the problem-solving algorithm, all the natural constraints, including those too subtle for the knowledge engineer to extract, are available to the algorithms and emerge at appropriate moments while solving problems.
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About the Author
2003 : PhD. In Computer Engg from Toin University of Yokohama-Japan. 2004 : Lecturer of Computer Science at Faculty of Science- Alexandria University.2006 : Manager of Alexandria university digital library project.2011: Associated professor of computer sciencewww.alexu.edu.eg
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Emergent Rough Set Systems
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LAP LAMBERT Academic Publishing Sep 2011, 2011
ISBN 10: 3846509728
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book uses ideas from machine learning and artificial intelligence to provide the models of emergent system. This task falls into an extensive category of hybrid complex systems, which, broadly speaking, can be said to be the science of constructing models that describe the emergence; where we will introduce new approaches based on rough sets combined with neural networks, genetic programming, and multi-agents. Moreover, the constructions of some cellular systems, in which cellular automata will be integrated with rough sets and multi-agents, are presented also. The main value of the study is that it provides an illustration of how simple learning processes may lead to the formation of the agent behavior, which can give an emergence to the system. By allowing the task environment to be an integral component of the problem-solving algorithm, all the natural constraints, including those too subtle for the knowledge engineer to extract, are available to the algorithms and emerge at appropriate moments while solving problems. 204 pp. Englisch. Seller Inventory # 9783846509722
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Emergent Rough Set Systems
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hassan Yasser2003 : PhD. In Computer Engg from Toin University of Yokohama-Japan. 2004 : Lecturer of Computer Science at Faculty of Science- Alexandria University.2006 : Manager of Alexandria university digital library project.20. Seller Inventory # 5495573
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Emergent Rough Set Systems
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Emergent Rough Set Systems
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Emergent Rough Set Systems | Hybrid systems based on rough sets
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Taschenbuch. Condition: Neu. Emergent Rough Set Systems | Hybrid systems based on rough sets | Yasser Hassan | Taschenbuch | 204 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846509722 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106773131
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Emergent Rough Set Systems
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book uses ideas from machine learning and artificial intelligence to provide the models of emergent system. This task falls into an extensive category of hybrid complex systems, which, broadly speaking, can be said to be the science of constructing models that describe the emergence; where we will introduce new approaches based on rough sets combined with neural networks, genetic programming, and multi-agents. Moreover, the constructions of some cellular systems, in which cellular automata will be integrated with rough sets and multi-agents, are presented also. The main value of the study is that it provides an illustration of how simple learning processes may lead to the formation of the agent behavior, which can give an emergence to the system. By allowing the task environment to be an integral component of the problem-solving algorithm, all the natural constraints, including those too subtle for the knowledge engineer to extract, are available to the algorithms and emerge at appropriate moments while solving problems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 204 pp. Englisch. Seller Inventory # 9783846509722
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Emergent Rough Set Systems : Hybrid systems based on rough sets
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ISBN 10: 3846509728
ISBN 13: 9783846509722
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book uses ideas from machine learning and artificial intelligence to provide the models of emergent system. This task falls into an extensive category of hybrid complex systems, which, broadly speaking, can be said to be the science of constructing models that describe the emergence; where we will introduce new approaches based on rough sets combined with neural networks, genetic programming, and multi-agents. Moreover, the constructions of some cellular systems, in which cellular automata will be integrated with rough sets and multi-agents, are presented also. The main value of the study is that it provides an illustration of how simple learning processes may lead to the formation of the agent behavior, which can give an emergence to the system. By allowing the task environment to be an integral component of the problem-solving algorithm, all the natural constraints, including those too subtle for the knowledge engineer to extract, are available to the algorithms and emerge at appropriate moments while solving problems. Seller Inventory # 9783846509722
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Emergent Rough Set Systems
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