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Leonid Perlovsky, "Emotional Cognitive Neural Algorithms with Engineering Applications: Dynamic Logic: From Vague to Crisp (Studies in Computational Intelligence)"

Leonid Perlovsky, "Emotional Cognitive Neural Algorithms with Engineering Applications: Dynamic Logic: From Vague to Crisp (Studies in Computational Intelligence)"
Publisher: S---ger | ISBN 10: 3642228291 | 2011 | PDF | 208 pages | 3.6 MB


Dynamic logic (DL) recently had a highest impact on the development in several areas of modeling and algorithm design. The book discusses classical algorithms used for 30 to 50 years (where improvements are often measured by signal-to-clutter ratio), and also new areas, which did not previously exist. These achievements were recognized by National and International awards. Emerging areas include cognitive, emotional, intelligent systems, data mining, modeling of the mind, higher cognitive functions, evolution of languages and other. Classical areas include detection, recognition, tracking, fusion, prediction, inverse scattering, and financial prediction. All these classical areas are extended to using mixture models, which previously was considered unsolvable in most cases. Recent neuroimaging experiments proved that the brain-mind actually uses DL.

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