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Emergent Rough Set Systems: Hybrid systems based on rough sets - Tapa blanda

Hassan, Yasser

 
9783846509722: Emergent Rough Set Systems: Hybrid systems based on rough sets
Tapa blanda
ISBN 10: 3846509728 ISBN 13: 9783846509722
Editorial: LAP LAMBERT Academic Publishing, 2011

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

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.

Biografía del autor

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

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2011
Idioma
Inglés
ISBN 10 
3846509728
ISBN 13 
9783846509722
Encuadernación
Tapa blanda
Número de páginas
204
Contacto del fabricante
no disponible
Persona responsable
no disponible