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Artificial Intelligence and Neural Networks: Steps Toward Principled Integration (Neural Networks: Foundations to Applications)

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 | #4955913 in Books |  1994-11-24 | Original language:English | PDF # 1 |  9.50 x6.25 x1.50l, | File type: PDF | 653 pages

||4 of 5 people found the following review helpful.| A modern synthesis of approaches in Artificial Intelligence|By A Customer|This book is an excellent reference book on current approaches to some of the foundational questions in artificial intelligence, philosophy of mind, and engineering of intelligent systems. The editors as amply demonstrated by their other publications, have the rare ability to interrelate an amazing divers|About the Author|Vasant Honavar is Professor of Information Sciences and Technology and of Computer Science at the Pennsylvania State University where he holds the Edward Frymoyer Endowed Chair, and heads the Artificial Intelligence Research Laboratory and

Traditional artificial intelligence and neural networks are generally considered appropriate for solving different types of problems. On the surface, these two approaches appear to be very different, but a growing body of current research is focused on how the strengths of each can be incorporated into the other and built into systems that include the best features of both.

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