Cognitive Informatics, Computer Modelling, and Cognitive Science: Volume Two, 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. The book is presented in two volumes, covering Introduction and Theoretical Background, Philosophical and Psychological Theory, and Cognitive Informatics and Computing. Volume Two includes Statistics for Cognitive Science, Cognitive Applications and STEM Case Studies. Other sections cover Cognitive Informatics, Computer Modeling and Cognitive Science: Application to Neural Engineering, Robotics, and STEM.
The book's 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, and more.
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Dr. G R Sinha is a Professor at Myanmar Institute of Information Technology (MIIT) Mandalay, Myanmar.
To his credit are 255 research papers, book chapters, and books, including Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare, Biomedical Signal Processing for Healthcare Applications, Brain and Behavior Computing, and Data Science and Its Applications from Chapman and Hall/CRC Press, Advances in Biometrics from Springer, and Cognitive Informatics, Volumes 1 and 2, AI-Based Brain Computer Interfaces, and Data Deduplication Approaches from Elsevier Academic Press. He was Dean of Faculty and an Executive Council Member of CSVTU and has served as Distinguished Speaker in the field of Digital Image Processing for the Computer Society of India. His research interests include Applications of Machine Learning and Artificial Intelligence in Medical Image Analysis, Biomedical Signal Analysis, Computer Aided Diagnosis, Computer Vision, and Cognitive Science.
Dr. Jasjit Suri, PhD, MBA, is a renowned innovator and scientist. He received the Director General’s Gold Medal in 1980 and is a Fellow of several prestigious organizations, including the American Institute of Medical and Biological Engineering and the Institute of Electrical and Electronics Engineers. Dr. Suri has been honored with lifetime achievement awards from Marcus, NJ, USA, and Graphics Era University, India. He has published nearly 300 peer-reviewed AI articles, 100 books, and holds 100 innovations/trademarks, achieving an H-index of nearly 100 with about 43,000 citations. Dr. Suri has served as chairman of AtheroPoint, IEEE Denver section, and as an advisory board member to various healthcare industries and universities globally.
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.
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