Cognitive Informatics, Computer Modelling, and Cognitive Science: Volume 1: Theory, Case Studies, and Applications

Cognitive Informatics, Computer Modelling, and Cognitive Science: Theory, Case Studies, and Applications presents the theoretical background and history of cognitive science to help readers understand its foundations, philosophical and psychological aspects, and applications in a wide range of engineering and computer science case studies. Cognitive science, a cognitive model of the brain, knowledge representation, and information processing in the human brain are discussed, as is the theory of consciousness, neuroscience, intelligence, decision-making, mind and behavior analysis, and the various ways cognitive computing is used for information manipulation, processing and decision-making.

Mathematical and computational models, structures and processes of the human brain are also covered, along with advances in machine learning, artificial intelligence, cognitive knowledge base, deep learning, cognitive image processing and suitable data analytics.

Identifies how foundational theories and concepts in cognitive science are applicable in other fieldsIncludes a comprehensive review of cognitive science applications in multiple domains, applying it to neural engineering, robotics, computer science and STEMIncludes models of brain processing, consciousness, decision-making, and moreProvides in-depth technical coverage of cognitive informatics and computing, including coverage of cognitive knowledge base, information theory, cognitive machine learning and intelligence

1. Introduction to cognitive science, informatics, and modeling 2. Machine consciousness: mind, machine, and society contributors 3. Brain-computer interface and neurocomputing 4. The impact on cognitive development of a self-contained exploratory and technology-rich course on the physics of light and sound 5. Identification of normal and abnormal brain hemorrhage on magnetic resonance images 6. Cognitive informatics, computer modeling and cognitive science assessment of knee osteoarthritis in radiographic images: a machine learning approach 7. Adaptive circadian rhythm a cognitive approach through dynamic light management 8. Cognitive and brain function analysis of sleeping stage electroencephalogram wave using parallelization 9. The future networks - a cognitive approach 10. Identification of face along with configuration beneath unobstructed ambiance via reflective deep cascaded neural networks 11. Setting up a neural machine translation system for English to Indian languages 12. An extreme learning-based adaptive control design for an autonomous underwater vehicle 13. Geometric total plaque area is an equally powerful phenotype compared to carotid intima-mediathickness for stroke risk assessment 14. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms 15. Identification of road signs using a novel convolutional neural network 16. Machine learning behind classification tasks in various engineering and science domains