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.
