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Product Description
Numerous real-life problems so complex as to be virtually insoluble by means of traditional computer science techniques can now be approached effectively with artificial intelligence techniques. Recently, artificial intelligence technologies have evolved at a rapid pace, raising significant challenges to the effort to stay current.

PThe Encyclopedia of Artificial Intelligence is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, and applications of systems using intelligent characteristics for adaptability, automation learning, classification, prediction, and even artistic creation, among others. Authored by the world s leading experts from more than 30 countries, this commanding reference of over 200 articles is essential to any research library s technology holdings.

About the Author
Juan Ramón Rabuñal Dopico is associate professor in the Department of Information and Communications Technologies, University of A Coruña (Spain). He finished his studies in computer engineering in 1996, and in 2002, he became a doctor of computer science with his thesis Methodology for the Development of Knowledge Extraction Systems in ANNs . He has worked on several Spanish and European projects and has published many books and papers in several international journals. He is currently working in the areas of evolutionary computation, artificial neural networks, and knowledge extraction systems. Julian Dorado is associate professor in the Faculty of Computer Science in the University of a Coruña. He finished his graduate in Computer Science in 1994. In 1999, he became Ph.D, with a special mention of European Doctor. In 2004, he has finished his graduate in Biology. He has worked as a teacher of the University for more than 8 years. He has published many books and papers on several journals and international conferences. He is at present working on Bioinformatics, Evolutionary Computing, Artificial Neural Networks, Computer Graphics and Data Mining. Alejandro Pazos is professor in Computer Science Faculty (University of A Coruña). He was born in Padron in 1959. He is MD by Faculty of Medicine at University of Santiago de Compostela in 1987. He obtains the Master Knowledge Engerineering in 1989 and PhD in Computer Science in 1990 by the Polytechnique University of Madrid. He also archives the PhD grade in Medicine in 1996 by the University Complutese of Madrid. He has worked with research groups in Georgia Institute of Technology, Havard Medical School, Stanford University, Politechnique University of Madrid, etc. He funded and is the director of the research laboratory: Artificial Neural Networks and Adaptative Systems in Computer science Faculty and is also co-director of the Medical Informatics and Radiology Diagnostic Center at the University of A Coruña.