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| | 501 Challenging Logic & Reasoning Problems, 2nd EditionThis book—which can be used alone, with other logic and reasoning texts of your choice, or in combination with LearningExpress’s Reasoning Skills Success in 20 Minutes a Day—will give you practice dealing with the types of multiple-choice questions that appear on standardized tests assessing logic, reasoning, judgment, and... | | Rough Computing: Theories, Technologies and ApplicationsRough set theory is a new soft computing tool which deals with vagueness and uncertainty. It has attracted the attention of researchers and practitioners worldwide, and has been successfully applied to many fields such as knowledge discovery, decision support, pattern recognition, and machine learning.
Rough Computing: Theories,... |
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Diagrammatic Reasoning in AI
This book is really the end product of over a decade of work, on and off, on
diagrammatic reasoning in artificial intelligence (AI). In developing this book, I
drew inspiration from a variety of sources: two experimental studies, the development
of two prototype systems, an extensive literature review and analysis in
AI,... | | | | Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis (Information Science and Statistics)Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty.... |
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Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity
This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Recent concepts of sparsity and morphological diversity are... | | Robots, Reasoning, and ReificationRobots, Reasoning, and Reification focuses on a critical obstacle that is preventing the development of intelligent, autonomous robots: the gap between the ability to reason about the world and the ability to sense the world and translate that sensory data into a symbolic model.
This ability is what enables living systems to look at the world... | | |
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