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This book explores the adaptation of cognitive processes to limited resources. It deals with resource-bounded and resource-adaptive cognitive processes in human information processing and human-machine systems plus the related technology transfer issues.
This book explores why, regarding practical reasoning, humans are sometimes still faster than artificial intelligence systems. It is the first to offer a self-contained presentation of neural network models for many computer science logics.
It is widely accepted that the key to rising incomes for workers, for investors, and (indirectly) for welfare recipients is innovation. New ideas provide opportunities for investment in new products, new processes, and new markets. Exploitation of these opportunities by intrapreneurs and entrepreneurs gives rise to increases in labor productivity, which in turn lead to higher primary incomes for workers and investors and, via government redistributive mechanisms, larger transfers to welfare recipients. Since technology is the driver of innovation and the key to the subsequent economic and distributional benefits of this innovation, there is a need for researchers and businesspersons to have access to up-to-date information on emerging technologies and the business opportunities they provide. Technological Breakthroughs and Future Business Opportunities in Education, Health, and Outer Space discusses the economic, social, and cultural benefits that new technologies can provide in multidisciplinary industries with a unique emphasis on looking towards the impacts of these technologies across the next two decades. Within this theme, the book discusses the recent trends, future developments, and business opportunities surrounding new technologies including information technology and biotechnology. Additionally, the book investigates recent demands and disruptions in the health and education sectors as well as recent developments and forthcoming opportunities in the outer space sector and how newer technologies can enable and meet the growing demands of these industries. While covering all these technologies and their applications, this book is an ideal reference work for entrepreneurs and intrapreneurs, teachers, technologists, analysts, IT specialists, engineers, policymakers, medical professionals, government officials, space agencies, financial planners, public officials, and researchers and students working in areas that include but are not limited to technology, education, public health, medicine, business and management, aeronautics, and public policy.
Emerging Cognitive Neuroscience and Related Technologies, from the National Research Council, identifies and explores several specific research areas that have implications for U.S. national security, and should therefore be monitored consistently by the intelligence community. These areas include: neurophysiological advances in detecting and measuring indicators of psychological states and intentions of individuals the development of drugs or technologies that can alter human physical or cognitive abilities advances in real-time brain imaging breakthroughs in high-performance computing and neuronal modeling that could allow researchers to develop systems which mimic functions of the human brain, particularly the ability to organize disparate forms of data. As these fields continue to grow, it will be imperative that the intelligence community be able to identify scientific advances relevant to national security when they occur. To do so will require adequate funding, intelligence analysts with advanced training in science and technology, and increased collaboration with the scientific community, particularly academia. A key tool for the intelligence community, this book will also be a useful resource for the health industry, the military, and others with a vested interest in technologies such as brain imaging and cognitive or physical enhancers.
Rapidly growing cognitive technologies (such as word processors, web browsers, cell phones, and personal data assistants) aid learning, memory, and problem solving, and contribute to every part of modern life from interviewing crime witnesses to learning a foreign language to calling one's mother. This collection of essays on cognitive technology examines the interaction between the human mind and the tools people create to enhance it, studying which technologies assist cognition the most and what features are most effective. It also considers the point at which the technological enhancement of human ability begins to restrict that very ability, such as the risk of some cognitive technologies impairing cognition or creating disadvantages for individuals or groups. This collection of 11 essays discusses the most recent psychological research in cognitive technology, showcasing the paradigms and theories that have driven the development of new cognitive technologies. It explores the impact of technology on cognitive psychology, the classroom, and social interaction and group problem solving. Topics covered include the distracting characteristics of new technologies (such as the effects of cell phone use on driving ability and of distracting advertisements on problem solving), the study of mass media through assessing memories for media experiences, the media's role in advancing gender and racial prejudices, and the misuse of cognitive technology through identity theft and cyberterrorism. Each essay concludes with a bibliography.
Preferences are useful in many real-life problems, guiding human decision making from early childhood up to complex professional and organizational decisions. In artificial intelligence specifically, preferences is a relatively new topic of relevance to nonmonotonic reasoning, multiagent systems, constraint satisfaction, decision making, social choice theory and decision-theoretic planning The first part of this book deals with preference representation, with specific chapters dedicated to representation languages, nonmonotonic logics of preferences, conditional preference networks, positive and negative preferences, and the study of preferences in cognitive psychology. The second part of the book deals with reasoning with preferences, and includes chapters dedicated to preference-based argumentation, preferences database queries, and rank-ordering outcomes and intervals. The author concludes by examining forthcoming research perspectives. This is inherently a multidisciplinary topic and this book will be of interest to computer scientists, economists, operations researchers, mathematicians, logicians, philosophers and psychologists.
Our species has been a maker and user of tools for over two million years, but "cognitive technology" began with language. Cognition is thinking, and thinking has been "distributed" for at least the two hundred millennia that we have been using speech to interact and collaborate, allowing us to do collectively far more than any of us could have done individually. The invention of writing six millennia ago and print six centuries ago has distributed cognition still more widely and quickly, among people as well as their texts. But in recent decades something radically new has been happening: Advanced cognitive technologies, especially computers and the Worldwide Web, are beginning to redistribute cognition in unprecedented ways, not only among people and static texts, but among people and dynamical machines. This not only makes possible new forms of human collaboration, but new forms of cognition. This book examines the nature and prospects of distributed cognition, providing a conceptual framework for understanding it, and showcasing case studies of its development. This volume was originally published as a Special Issue of Pragmatics & Cognition (14:2, 2006).
As more and more devices become interconnected through the Internet of Things (IoT), there is an even greater need for this book,which explains the technology, the internetworking, and applications that are making IoT an everyday reality. The book begins with a discussion of IoT "ecosystems" and the technology that enables them, which includes: Wireless Infrastructure and Service Discovery Protocols Integration Technologies and Tools Application and Analytics Enablement Platforms A chapter on next-generation cloud infrastructure explains hosting IoT platforms and applications. A chapter on data analytics throws light on IoT data collection, storage, translation, real-time processing, mining, and analysis, all of which can yield actionable insights from the data collected by IoT applications. There is also a chapter on edge/fog computing. The second half of the book presents various IoT ecosystem use cases. One chapter discusses smart airports and highlights the role of IoT integration. It explains how mobile devices, mobile technology, wearables, RFID sensors, and beacons work together as the core technologies of a smart airport. Integrating these components into the airport ecosystem is examined in detail, and use cases and real-life examples illustrate this IoT ecosystem in operation. Another in-depth look is on envisioning smart healthcare systems in a connected world. This chapter focuses on the requirements, promising applications, and roles of cloud computing and data analytics. The book also examines smart homes, smart cities, and smart governments. The book concludes with a chapter on IoT security and privacy. This chapter examines the emerging security and privacy requirements of IoT environments. The security issues and an assortment of surmounting techniques and best practices are also discussed in this chapter.