Cognitive Engineering for Next Generation Computing

Preface

Cognitive computing is a hardware and software element which is presently being used mainly in smart system development. Technologies such as artificial intelligence, machine learning, advanced analytics, natural language processing, big data analytics, and distributed computing come under the umbrella of cognitive computing. The impact of this technology can be seen in areas such as healthcare, business, decision-making, personal lives, and many more. Cognitive engineering is commonly used in analysis, design, decision-making, and sociotechnical systems; and cognitive physical systems are used in applications such as human–robot interactions, transport management, industrial automation, healthcare, agriculture, etc. Human individual interactions and group behavior are important to all these applications. Cognitive cyber-physical systems are applied in different areas such as smart manufacturing, agriculture, education, energy management, security, environmental monitoring, transportation systems, process control, smart cities and homes, medical healthcare devices, etc. The increasing complexity of cognitive computing also includes the security problems confronted by such networks. This rise of the Internet of Things (IoT) network complexity is due to too many devices being interconnected with each other through the internet along with the enormous amount of data originating from these devices. Also, novel security issues arise relating to the development of the IoT ...