High IQs don't improve the world. Adaptive intelligence does, because it prioritizes the common good over individual success.

The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during system mutations. The inadequate self-adaptation of AI systems poses significant challenges in terms of cost-effectiveness and operational stability. Principles and Applications of Adaptive Artificial Intelligence, edited by Zhihan Lv from Uppsala University, Sweden, offers a comprehensive solution to the self-adaptation problem in AI systems. It explores the latest concepts, technologies, and applications of Adaptive AI, equipping academic scholars and professionals with the necessary knowledge to overcome the challenges faced by traditional business logic transformed into model services. With its problem-solving approach, real-world case studies, and thorough analysis, the Handbook provides practitioners with practical ideas and solutions, while also serving as a valuable teaching material and reference guide for students and educators in AI-related disciplines. By emphasizing self-adaptation, continuous model iteration, and dynamic learning based on real-time feedback, the book empowers readers to significantly enhance the cost-effectiveness and operational stability of AI systems, making it an indispensable resource for researchers, professionals, and students seeking to revolutionize their research and applications in the field of Adaptive AI.

Combining heroic stories of dogs with the latest scientific and psychological information, this book has provoked controversy with its lists that rank more than 100 breeds and its exciting new insights into the thoughts, emotions, and inner lives of dogs.

This book reflects on the various ways in which intelligence can manifest itself in the wide range of diverse contexts in which people live. Intelligence is often viewed as being tantamount to a score or set of scores on a decontextualized standardized intelligence test. But intelligence always acts within a sociocultural context. Indeed, early theorists defined intelligence in terms of adaptation to the environment in which one lives. The tradition of decontextualization is old, dating back to the very beginning of the 20th century with the development of the Binet-Simon Intelligence Scales. This tradition is not only old, however, but obsolete. Because people live in different sociocultural as well as physical environments, intelligence can take somewhat different forms in different places and even at different times. The chapters in this edited volume show that intelligence viewed in the abstract is a somewhat vacuous concept - it needs to be contextualized in terms of people’s physical and sociocultural surroundings.

Higher education faces the ongoing challenge of engaging students in successful lifelong learning despite rapidly evolving environments. Traditional teaching methods need to be revised to prepare students for the complexities of modern society, as they currently leave a gap between theory and practice. To address this dilemma, Implementing Interactive Learning Strategies in Higher Education offers a comprehensive framework and the latest empirical research to help educators address students' diverse learning needs. The book focuses on active and interactive learning strategies, cognitive and metacognitive approaches, and social-emotional learning techniques. It provides practical insights for educators across disciplines, including adaptive learning strategies and innovative digital engagement methods.

In the environment of energy systems, the effective utilization of both conventional and renewable sources poses a major challenge. The integration of microgrid systems, crucial for harnessing energy from distributed sources, demands intricate solutions due to the inherent intermittency of these sources. Academic scholars engaged in power system research find themselves at the forefront of addressing issues such as energy source estimation, coordination in dynamic environments, and the effective utilization of artificial intelligence (AI) techniques. Intelligent Solutions for Sustainable Power Grids focuses on emerging research areas, this book addresses the uncertainty of renewable energy sources, employs state-of-the-art forecasting techniques, and explores the application of AI techniques for enhanced power system operations. From economic aspects to the digitalization of power systems, the book provides a holistic approach. Tailored for undergraduate and postgraduate students as well as seasoned researchers, it offers a roadmap to navigate the intricate landscape of modern power systems. Dive into a wealth of knowledge encompassing smart energy systems, renewable energy integration, stability analysis of microgrids, power quality enhancement, and much more. This book is not just a guide; it is the solution to the pressing challenges in the dynamic field of energy systems.

The term 'Implicit Learning' refers to the way in which knowledge of fairly complex, patterned material can be acquired without any conscious effort to learn it and with little to no awareness of what has been learned. Over the past fifty years, Implict Learning has became a vigorously researched area in the social sciences. In The Cognitive Unconscious, Arthur S. Reber and Rhianon Allen bring together several dozen experts from social science and neuroscience to present a broad overview of the exploration of the cognitive unconscious. Each chapter delves deeper into a subject that has become an interdisciplinary domain of research to which contributions have been made by sociologists, neuroscientists, evolutionary biologists, linguists, social and organizational psychologists, and sport psychologists, amongst many others. The book shows that unconscious, implicit cognitive processes play a role in virtually everything interesting that human beings do. As the contributors demonstrate, the implicit and explicit elements of cognition form a rich and complex interactive framework that make up who we are. With contributions from over thirty distinguished authors from nine different countries, The Cognitive Unconscious gives a balanced and thorough overview of where the field is today, over a half-century since the first experiments were run.

The Palgrave Encyclopedia of the Possible represents a comprehensive resource for researchers and practitioners interested in an emerging multidisciplinary area within psychology and the social sciences: the study of how we engage with and cultivate the possible within self, society and culture. Far from being opposed either to the actual or the real, the possible engages with concrete facts and experiences, with the result of transforming them. This encyclopedia examines the notion of the possible and the concepts associated with it from standpoints within psychology, philosophy, sociology, neuroscience and logic, as well as multidisciplinary fields of research including anticipation studies, future studies, complexity theory and creativity research. Presenting multiple perspectives on the possible, the authors consider the distinct social, cultural and psychological processes - e.g., imagination, counterfactual thinking, wonder, play, inspiration, and many others - that define our engagement with new possibilities in domains as diverse as the arts, design and business.

This volume addresses three important areas of current research in mental retardation: behavioral toxicology research and its implications for the cause and prevention of some types of mental retardation, cognitive processes in mentally retarded individuals and the significance of this issue for the further development of remediation techniques, and social adaptation and family functioning and the importance of these topics for the study of mental retardation.

This book provides a general overview of intelligence in health policy, health-care organizations and health services in the light of the current EU digital agenda, which aims to make health data and e-health tools publicly available. The first part analyses the implications of knowledge management and decision-making procedures for intelligent health policies and governance. The second part discusses in detail the concept of intelligence and illustrates why the perspective of organizational intelligence offers a solution to contemporary problems in health care, while the third part focuses on intelligent leadership models in health-care organizations. Providing a guide to new ways of understanding, developing, and reforming health policy and health services, it appeals to scholars as well as decision-makers in health governance and health-care institutions.