Emotional Cognitive Neural Algorithms with Engineering Applications
Emotional Cognitive Neural Algorithms with Engineering Applications

Author: Leonid Perlovsky

Publisher: Springer Science & Business Media

Published: 2011-08-20

Total Pages: 208

ISBN-13: 3642228291

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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.

Mysticism and Experience
Mysticism and Experience

Author: Alex S. Kohav

Publisher: Rowman & Littlefield

Published: 2020-08-31

Total Pages: 300

ISBN-13: 1498599389

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Mysticism and Experience: Twenty-First-Century Approaches embarks on an investigation of the concept of mysticism from the standpoint of academic fields, including philosophy, anthropology, religious studies, mysticism studies, literary studies, art criticism, cognitive poetics, cognitive science, psychology, medical research, and even mathematics. Scholars across disciplines observe that, although it has experienced both cyclical approval and disapproval, mysticism seems to be implicated as a key foundation of religion, alon with the highest forms of social, cultural, intellectual, and artistic creations. This book is divided into four sections: The Exposure, The Symbolic, The Cognitive, and The Scientific, covering all fundamental aspects of the phenomenon known as mysticism. Contributors, taking advantage of recent advances in disciplinary approaches to understanding mystical phenomena, address questions of whether progress can be made to systemically enrich, expand, and advance our understanding of mysticism.

Supervised Sequence Labelling with Recurrent Neural Networks
Supervised Sequence Labelling with Recurrent Neural Networks

Author: Alex Graves

Publisher: Springer

Published: 2012-02-06

Total Pages: 148

ISBN-13: 3642247970

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Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging. Recurrent neural networks are powerful sequence learning tools—robust to input noise and distortion, able to exploit long-range contextual information—that would seem ideally suited to such problems. However their role in large-scale sequence labelling systems has so far been auxiliary. The goal of this book is a complete framework for classifying and transcribing sequential data with recurrent neural networks only. Three main innovations are introduced in order to realise this goal. Firstly, the connectionist temporal classification output layer allows the framework to be trained with unsegmented target sequences, such as phoneme-level speech transcriptions; this is in contrast to previous connectionist approaches, which were dependent on error-prone prior segmentation. Secondly, multidimensional recurrent neural networks extend the framework in a natural way to data with more than one spatio-temporal dimension, such as images and videos. Thirdly, the use of hierarchical subsampling makes it feasible to apply the framework to very large or high resolution sequences, such as raw audio or video. Experimental validation is provided by state-of-the-art results in speech and handwriting recognition.

Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition
Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition

Author: Patricia Melin

Publisher: Springer

Published: 2011-10-25

Total Pages: 216

ISBN-13: 3642241395

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This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful pattern recognition systems. Type-2 fuzzy logic is an extension of traditional type-1 fuzzy logic that enables managing higher levels of uncertainty in complex real world problems, which are of particular importance in the area of pattern recognition. The book is organized in three main parts, each containing a group of chapters built around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which are the basis for achieving intelligent pattern recognition. The second part contains chapters with the main theme of using type-2 fuzzy models and modular neural networks with the aim of designing intelligent systems for complex pattern recognition problems, including iris, ear, face and voice recognition. The third part contains chapters with the theme of evolutionary optimization of type-2 fuzzy systems and modular neural networks in the area of intelligent pattern recognition, which includes the application of genetic algorithms for obtaining optimal type-2 fuzzy integration systems and ideal neural network architectures for solving problems in this area.

The Unity of Mind, Brain and World
The Unity of Mind, Brain and World

Author: Alfredo Pereira (Jr.)

Publisher: Cambridge University Press

Published: 2013-09-12

Total Pages: 357

ISBN-13: 1107026296

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This book on consciousness spans the relation of individuals with the world and the individual's constitution at different organizational levels. Covering a diversity of perspectives and presenting a theoretical synthesis, the book will stimulate the current debate on the nature of consciousness, strengthening a more systematic approach to the phenomenon.

Software Engineering Research, Management and Applications 2011
Software Engineering Research, Management and Applications 2011

Author: Roger Lee

Publisher: Springer

Published: 2011-11-06

Total Pages: 202

ISBN-13: 3642232027

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The purpose of the 9th International Conference on Software Engineering Research, Management and Applications(SERA 2011) held on August 10-12, 2011 in Baltimore, Maryland was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas and research results about all aspects (theory, applications and tools) of computer and information sciences, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected 12 outstanding papers from SERA 2011, all of which you will find in this volume of Springer’s Studies in Computational Intelligence.

Uncertainty Modeling
Uncertainty Modeling

Author: Vladik Kreinovich

Publisher: Springer

Published: 2017-01-31

Total Pages: 298

ISBN-13: 3319510525

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This book commemorates the 65th birthday of Dr. Boris Kovalerchuk, and reflects many of the research areas covered by his work. It focuses on data processing under uncertainty, especially fuzzy data processing, when uncertainty comes from the imprecision of expert opinions. The book includes 17 authoritative contributions by leading experts.

Handbook On Computational Intelligence (In 2 Volumes)
Handbook On Computational Intelligence (In 2 Volumes)

Author: Plamen Parvanov Angelov

Publisher: World Scientific

Published: 2016-03-18

Total Pages: 964

ISBN-13: 9814675024

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With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational intelligence, such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security.The Handbook of Computational Intelligence (in two volumes) prompts readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems. Volume one explores the subjects of fuzzy logic and systems, artificial neural networks, and learning systems. Volume two delves into evolutionary computation, hybrid systems, as well as the applications of computational intelligence in decision making, the process industry, robotics, and autonomous systems.This work is a 'one-stop-shop' for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike.

Music, Passion, and Cognitive Function
Music, Passion, and Cognitive Function

Author: Leonid Perlovsky

Publisher: Academic Press

Published: 2017-02-25

Total Pages: 204

ISBN-13: 0128096969

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Music, Passion, and Cognitive Function examines contemporary cognitive theories of music, why they cannot explain music's power over us, and the origin and evolution of music. The book presents experimental confirmations of the theory in psychological and neuroimaging research, discussing the parallel evolution of consciousness, musical styles, and cultures since Homer and King David. In addition, it explains that 'in much wisdom is much grief' due to cognitive dissonances created by language that splits the inner world. Music enables us to survive in this sea of grief, overcomes discomforts and stresses of acquiring new knowledge, and unifies the soul, hence the power of music. - Provides a foundation of music theory - Demonstrates how emotions motivate interaction between cognition and language - Covers differentiation and synthesis in consciousness - Compares the parallel evolution of music and cultures - Examines the idea of music overcoming cognitive dissonances

Ensembles in Machine Learning Applications
Ensembles in Machine Learning Applications

Author: Oleg Okun

Publisher: Springer

Published: 2011-09-01

Total Pages: 262

ISBN-13: 3642229107

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This book contains the extended papers presented at the 3rd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA) that was held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2010, Barcelona, Catalonia, Spain). As its two predecessors, its main theme was ensembles of supervised and unsupervised algorithms – advanced machine learning and data mining technique. Unlike a single classification or clustering algorithm, an ensemble is a group of algorithms, each of which first independently solves the task at hand by assigning a class or cluster label (voting) to instances in a dataset and after that all votes are combined together to produce the final class or cluster membership. As a result, ensembles often outperform best single algorithms in many real-world problems. This book consists of 14 chapters, each of which can be read independently of the others. In addition to two previous SUEMA editions, also published by Springer, many chapters in the current book include pseudo code and/or programming code of the algorithms described in them. This was done in order to facilitate ensemble adoption in practice and to help to both researchers and engineers developing ensemble applications.