This book illustrates various aspects and dimensions of cognitive cities. Following a comprehensive introduction, the first part of the book explores conceptual considerations for the design of cognitive cities, while the second part focuses on concrete applications. The contributions provide an overview of the wide diversity of cognitive city conceptualizations and help readers to better understand why it is important to think about the design of our cities. The book adopts a transdisciplinary approach since the cognitive city concept can only be achieved through cooperation across different academic disciplines (e.g., economics, computer science, mathematics) and between research and practice. More and more people live in a growing number of ever-larger cities. As such, it is important to reflect on how cities need to be designed to provide their inhabitants with the means and resources for a good life. The cognitive city is an emerging, innovative approach to address this need.

This book introduces the readers to the new concept of cognitive cities. It demonstrates why cities need to become cognitive and why therefore a concept of cognitive city is needed. It highlights the main building blocks of cognitive cities and illustrates the concept by various cases. Following a concise introductory chapter the book features nine chapters illustrating various aspects and dimensions of cognitive cities. The logic of its structure proceeds from more general considerations to more specific illustrations. All chapters offer a comprehensive view of the different research endeavours about cognitive cities and will help pave the way for this new and innovative approach to governing cities in the future.

Complexity, Cognition and the City aims at a deeper understanding of urbanism, while invoking, on an equal footing, the contributions both the hard and soft sciences have made, and are still making, when grappling with the many issues and facets of regional planning and dynamics. In this work, the author goes beyond merely seeing the city as a self-organized, emerging pattern of some collective interaction between many stylized urban "agents" – he makes the crucial step of attributing cognition to his agents and thus raises, for the first time, the question on how to deal with a complex system composed of many interacting complex agents in clearly defined settings. Accordingly, the author eventually addresses issues of practical relevance for urban planners and decision makers. The book unfolds its message in a largely nontechnical manner, so as to provide a broad interdisciplinary readership with insights, ideas, and other stimuli to encourage further research – with the twofold aim of further pushing back the boundaries of complexity science and emphasizing the all-important interrelation of hard and soft sciences in recognizing the cognitive sciences as another necessary ingredient for meaningful urban studies.

The technological advancements of today not only affect individual’s personal lives. They also affect the way urban communities regard the improvement of their resident’s lives. Research involving these autonomic reactions to the growing needs of the people is desperately needed to transform the cities of today into the cities of the future. Driving the Development, Management, and Sustainability of Cognitive Cities is a pivotal reference source that explores and improves the understanding of the strategic role of sustainable cognitive cities in residents’ routine life styles. Such benefits to residents and businesses include having access to world-class training while sitting at home, having their wellbeing observed consistently, and having their medical issues identified before occurrence. This book is ideally designed for administrators, policymakers, industrialists, and researchers seeking current research on developing and managing cognitive cities.

In our contemporary era, while diversity is acknowledged, true inclusion remains an elusive goal, as society grapples with multifaceted challenges. The "great resignation" and movements like #MeToo have exposed workplace culture issues, while events like Black Lives Matter protests underscored glaring disparities. Simultaneously, rapid technological advancements introduce new risks, from cyber exploitation to biased AI. These complexities demand innovative solutions that address these challenges, fostering environments of genuine respect, understanding, and collaboration. Applied Research Approaches to Technology, Healthcare, and Business, edited by Dr. Darrell Norman Burrell, emerges as a transformative force. This dynamic anthology presents insights, research, and actionable recommendations from diverse fields and perspectives, taking an interdisciplinary approach to unravel workplace dynamics, health disparities, and technological advancements. Topics include inclusive leadership, equitable technology, bias in AI, and forging collaboration across religious and cultural differences. By harmonizing voices and expertise, this book offers transformative approaches for individuals, educators, and professionals. This rich resource empowers readers to navigate today's societal challenges, equipping them to become architects of a more inclusive, equitable, and harmonious future across technology, healthcare, and business.

This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things (CIoT). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different steps. It initiates with IoT basics, its history, architecture and applications followed by capabilities of CIoT in real world and description of machine learning (ML) in data mining. Further, it explains various ML techniques and paradigms with different phases of data pre-processing and feature engineering. Each chapter includes sample questions to help understand concepts of ML used in different applications. Explains integration of Machine Learning in IoT for building an efficient decision support system Covers IoT, CIoT, machine learning paradigms and models Includes implementation of machine learning models in R Help the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, Robotics Includes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions

This volume represents a selection of papers presented at the Third International Academic Conference on Places and Technologies, held at the Faculty of Architecture of the University of Belgrade, Serbia in April 2016. The conference brought together researchers, PhD students and practitioners, in order to create a platform for sharing knowledge in the fields of growth, new technologies, and the environment, as well as particular aspects of achieving the concept of cognitive city. The book will appeal primarily to members of the academic community in the fields of urban design, planning and architecture, engineering and technical sciences, and the humanities and social sciences. It will also be of interest to professional institutions and companies, governments, and NGOs, who will directly benefit from the knowledge presented here.