Academic Press Cognitive Informatics, Computer Modelling, and Cognitive Science: Volume 2: Application to Neural Engineering, Robotics, and STEM

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. Review Examines the practical application of Cognitive Science to solve key issues in neural engineering and computing From the Back Cover 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 cogniti