\u003cp\u003e\u003ci\u003eCognitive Informatics, Computer Modelling, and Cognitive Science: Theory, Case Studies, and Applications \u003c/i\u003epresents 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. \u003c/p\u003e \u003cp\u003eMathematical 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.\u003c/p\u003e\u003cul\u003e\u003cli\u003eIdentifies how foundational theories and concepts in cognitive science are applicable in other fields\u003c/li\u003e\u003cli\u003eIncludes a comprehensive review of cognitive science applications in multiple domains, applying it to neural engineering, robotics, computer science and STEM\u003c/li\u003e\u003cli\u003eIncludes models of brain processing, consciousness, decision-making, and more\u003c/li\u003e\u003cli\u003eProvides in-depth technical coverage of cognitive informatics and computing, including coverage of cognitive knowledge base, information theory, cognitive machine learning and intelligence\u003c/li\u003e\u003c/ul\u003e
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