| Contents |
Volume 1. Theory, case studies, and applications -- Volume 2. Application to neural engineering, robotics, and STEM. |
| Abstract |
"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, followed by its philosophical and psychological aspects, and culminating with the application of cognitive science for a wide range of engineering and computer science case studies. Representation of cognitive science, cognitive model of the brain, knowledge representation, and information processing in the human brain are discussed. Though cognitive science includes modelling and imitation of the brains of all living beings, the scope of the book encompasses only the human brain and its processing. The theory of consciousness, neuroscience, intelligence, decision making, mind and behavior analysis are described with cases studies supported by research and application. Computing applications are another important factor in cognitive science, and the authors present the various ways cognitive computing is used for information manipulation, processing and finally decision making. Mathematical and computational models, structures and processes of the human brain are also covered. Artificial intelligence is considered as core part of cognitive science. Advances in the role of machine learning, artificial intelligence, cognitive knowledge base, deep learning, cognitive image processing and suitable data analytics useful for cognitive science are covered, including relevant case studies. Cognitive Informatics, Computer Modelling, and Cognitive Science is presented in two volumes. Volume 1 includes three sections: Introduction and Theoretical Background, Phiosophical and Psychological Theory, and Cognitive Informatics and Computing. Volume 2 includes three sections: Statistics for Cognitive Science, Cognitive Applications, and STEM Case Studies"-- Provided by publisher. |
| Abstract |
"Cognitive Informatics, Computer Modelling, and Cognitive Science: Application to Neural Engineering, Robotics, and STEM presents the practical real-world applications of Cognitive Science to help readers understand how it can help them in their research, engineering, and academic pursuits. Cognitive Informatics, Computer Modelling, and Cognitive Science is presented in two volumes. Volume 1 includes three sections: Introduction and Theoretical Background, Philosophical and Psychological Theory, and Cognitive Informatics and Computing. Volume 2 includes three sections: Statistics for Cognitive Science, Cognitive Applications, and STEM Case Studies. Cognitive Informatics, Computer Modelling, and Cognitive Science: Application to Neural Engineering, Robotics, and STEM, highlights practice strategies and applications. Evaluation of various Cognitive Science tasks and computation results has to be done using statistics. The first section of this volume presents statistics for dealing with uncertainty as complex processes. Probability theory is discussed to address uncertainty and interpret the cognitive scenario, which includes probability distribution concepts, maximum likelihood estimators and other similar distribution functions. Bayesian Statistics is presented that play an important role in establishing hypothesis from evidence. This section also gives emphasis to cognitive maps and some testing and validation strategies for hypothesis. The second section of this Volume presents cognitive applications and future trends that can drive innovations for some time to come. This includes cognitive robots; internet of cognitive things; neuro-computing and human brain modelling. The modeling of the human brain and assessment of cognitive ability will greatly help researchers, neuroscientists and psychologists working in the field of understanding the human brain and its functions. Mind is typically considered different from the brain; brain as physical and mind as mental entities and therefore consciousness of human brain and mind control are emerging applications in the field of cognitive psychology and philosophical understanding of the brain. The authors discuss the current status of research in the field of Cognitive Science, including cognitive language processing that paves the ways for developing numerous tools for helping physically challenged persons. We are now in the age of self-driving cars and autonomous driver assistance system (ADAS) and therefore the insight, theory and applications of Cognitive Science in these areas are also explained with cases studies. Cognitive systems are employed in many tools that operate on wireless networks using smart sensors, so security becomes an important issue in the field of Cognitive Science. To deal with the challenges related to cyber-attack and hacking, cyber cognitive systems are also presented. The final section of Volume 2 provides several prominent case studies based on real-world implementations and studies of Cognitive Science highlighting various aspects of the science such as philosophical, psychological and STEM (Science, Technology, Engineering and Mathematics) based approaches"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2019951833 2019951826 |
| ISBN | 9780128194430 (v. 1 ; paperback) |
| ISBN | 9780128194454 (v. 2 ; paperback) |
| ISBN | (v. 1) |
| ISBN | (v. 2) |
