Artificial Intelligence and Responsive Optimization
by M. Khoshnevisan, S. Bhattacharya, F. Smarandache
Publisher: Xiquan 2003
Number of pages: 87
The purpose of this book is to apply the Artificial Intelligence and control systems to different real models. It covers fuzzy utility systems, computational models for a simple portfolio insurance strategy, an artificial classification scheme to isolate truly benign tumors from those that initially start off as benign but subsequently show metastases, and an alternative methodological approach for quantifying utility in terms of expected information content of the decision-maker’s choice set.
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by David Moursund - University of Oregon
This book is designed to help teachers learn about the educational implications of current uses of Artificial Intelligence as an aid to solving problems and accomplishing tasks. The text is designed for self-study or for use in workshops.
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This book will take its readers on a stunning voyage of computational intelligence heuristics research and applications. Computational intelligence techniques are covered, ranging from neural networks, fuzzy logic, genetic algorithms, etc.
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In this book we analyze a selection of open problems which we consider the key ones in order to let ambient intelligence become a reality. This book provides the reader with a good idea about the current research lines in ambient intelligence.