Overview
- Presents a new Dynamic connection of fuzzy and crisp logic
- Written by leading experts in this field
- State-of-the-Art book
Part of the book series: Studies in Computational Intelligence (SCI, volume 371)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (5 chapters)
Keywords
About this book
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. „Emotional Cognitive Neural Algorithms with Engineering Applications“ is written for professional scientists and engineers developing computer and information systems, for professors teaching modeling and algorithms, and for students working on Masters and Ph.D. degrees in these areas. The book will be of interest to psychologists and neuroscientists interested in mathematical models of the brain and min das well.
Â
Authors and Affiliations
Bibliographic Information
Book Title: Emotional Cognitive Neural Algorithms with Engineering Applications
Book Subtitle: Dynamic Logic: From Vague to Crisp
Authors: Leonid Perlovsky, Ross Deming, Roman Ilin
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-22830-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-22829-2Published: 20 August 2011
Softcover ISBN: 978-3-642-26938-7Published: 27 November 2013
eBook ISBN: 978-3-642-22830-8Published: 28 August 2011
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 202
Topics: Computational Intelligence, Artificial Intelligence, Complex Systems, Complexity, Logics and Meanings of Programs, Statistical Physics and Dynamical Systems