Intelligence Collection

The groundbreaking bestseller that redefines intelligence and success Does IQ define our destiny? Daniel Goleman argues that our view of human intelligence is far too narrow, and that our emotions pla

Tiepolo is a brilliant example of the specifically pictorial intelligence. This book is both a study of his art and an argument for fuller recognition of the peculiarities of the painter's representat

Distributed Artificial Intelligence (DAI) is a dynamic area of research and this book is the first comprehensive, truly integrated exposition of the discipline presenting influential contributions fro

Mathematical Methods in Artificial Intelligence introduces the student to the important mathematical foundations and tools in AI and describes their applications to the design of AI algorithms. This u

How are our memories, our narratives, and our intelligence interrelated? What can artificial intelligence and narratology say to each other? In this pathbreaking study by an expert on learning and co

If extraterrestrial intelligence exists, then positive detection of it would be the greatest scientific discovery of all time. This book explains our position and techniques, from both the technologic

Computer science and artificial intelligence in particular have no curriculum inresearch methods, as other sciences do. This book presents empirical methods for studying complexcomputer programs: expl

There is a growing view that intelligence evolved as a product of social interdependence. The unique development of human intelligence was probably linked to the use of spoken language, but language itself evolved in the context of social interaction, and in its development it has shaped - and been shaped by - social institutions. Taking as their starting-point the social production of intelligence and of language, scholars across a range of disciplines are beginning to rethink fundamental questions about human evolution, language and social institutions. This volume brings together anthropologists, linguists, primatologists and psychologists, all working on this new frontier of research.

There is a growing view that intelligence evolved as a product of social interdependence. The unique development of human intelligence was probably linked to the use of spoken language, but language itself evolved in the context of social interaction, and in its development it has shaped - and been shaped by - social institutions. Taking as their starting-point the social production of intelligence and of language, scholars across a range of disciplines are beginning to rethink fundamental questions about human evolution, language and social institutions. This volume brings together anthropologists, linguists, primatologists and psychologists, all working on this new frontier of research.

Motivated by their belief that the most interesting work on intelligence is now being done at the interface of intelligence and personality, Robert Sternberg and Patricia Ruzgis have collected a body of essays exploring the interconnections and interdependencies between these two constructs. The essays selected for this 1994 volume form a history of the fields of intelligence and personality, from the period of 'grand theories', in which researchers sought to formulate overarching theories of the constructs as a whole, to the psychometric approach of factor analysis, to the development of situational and domain-specific theories, and finally to current research on person-situation interactions. Including work from prominent researchers such as Eysenck, Baltes, Dwek, Cantor, Ford, Smirnov, and Salovey, the book comprises an overview of the current state of the literature on the integration of the emotional and cognitive sides of a person's life.

Motivated by their belief that the most interesting work on intelligence is now being done at the interface of intelligence and personality, Robert Sternberg and Patricia Ruzgis have collected a body of essays exploring the interconnections and interdependencies between these two constructs. The essays selected for this 1994 volume form a history of the fields of intelligence and personality, from the period of 'grand theories', in which researchers sought to formulate overarching theories of the constructs as a whole, to the psychometric approach of factor analysis, to the development of situational and domain-specific theories, and finally to current research on person-situation interactions. Including work from prominent researchers such as Eysenck, Baltes, Dwek, Cantor, Ford, Smirnov, and Salovey, the book comprises an overview of the current state of the literature on the integration of the emotional and cognitive sides of a person's life.

This is the first collection of articles completely and explicitly devoted to the new field of 'comparative developmental evolutionary psychology' - that is, to studies of primate abilities based on frameworks drawn from developmental psychology and evolutionary biology. These frameworks include Piagetian and neo-Piagetian models as well as psycholinguistic ones. The articles in this collection - originating in Japan, Spain, Italy, France, Canada and the United States - represent a variety of backgrounds in human and nonhuman primate research, including psycholinguistics, developmental psychology, cultural and physical anthropology, ethology, and comparative psychology. The book focuses on such areas as the nature of culture, intelligence, language, and imitation; the differences among species in mental abilities and developmental patterns; and the evolution of life histories and of mental abilities and their neurological bases. The species studied include the African grey parrot, cebu

The stories and sketches in this collection penetrate to the heart of human experience with the passion and intelligence readers have come to expect of Doris Lessing. Most of the piece are set in cont

This is an eagerly awaited revision of the single bestselling introduction to Artificial Intelligence ever published. It retains the best features of the earlier works including superior readability,

The collected works of Turing, including a substantial amount of unpublished material, will comprise four volumes: Mechanical Intelligence, Pure Mathematics, Morphogenesis and Mathematical Logic. Alan

Have the classical methods and ideas of AI outlived their usefulness? Foundations of Artificial Intelligence critically evaluates the fundamental assumptions underpinning the dominant approaches to AI

Artificial intelligence has recently turned to formal logic in the search for powerful yet well-behaved knowledge representation languages. This book covers the background of classical logic, including the major meta-theorems, and the state of the art in theorem proving including Bibel's connection method. Also covered are the advanced adaptations of classical logic now being used in artificial intelligence - temporal and modal logics, reason maintenance and intensional logic. First published in 1988, the book covers a wider range of topics than the currently available books in this area, and is more directly aimed at workers in artificial intelligence.

Bruce Berkowitz and Allan Goodman draw on historical analysis, interviews, and their own professional experience in the intelligence community to provide an evaluation of U.S. strategic intelligence.

Metaphors of Mind seeks to help readers understand human intelligence as viewed from a variety of standpoints, such as those of psychology, anthropology, computational science, sociology, and philosophy. Much of the present confusion surrounding the concept of intelligence stems from our having looked at it from these different standpoints without considering how they relate to each other or how they might be combined into a unified view that goes beyond the boundaries of a particular discipline. Readers of Metaphors of Mind will come away with a comprehensive understanding of the concept of intelligence and how ideas about it have evolved and are continuing to evolve.

This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence. The editors have selected not only papers now recognized as classics but also many specially commissioned papers which examine the methodological and theoretical foundations of the discipline from a wide variety of perspectives: computer science and software engineering, cognitive psychology, philosophy, formal logic and linguistics. Carefully planned and structured, the volume tackles many of the contentious questions of immediate concern to AI researchers and interested observers. Is Artificial Intelligence in fact a discipline, or is it simply part of computer science? What is the role of programs in AI and how do they relate to theories? What is the nature of representation and implementation, and how should the challenge of connectionism be viewed? Can AI be characterized as an empirical science? The comprehensiveness of this collection is furthe

"Machines who think -- how utterly preposterous," huff beleaguered humanists,defending their dwindling turf. "Artificial Intelligence -- it's here and about to surpass our own,"crow techno-visionaries

Traditionally the military community held the intelligence profession in low esteem, spying was seen as dirty work and information was all to often ignored if it conflicted with a commander's own view

Artificial intelligence research has thrived in the years since this best-selling AI classic was first published. The revision encompasses these advances by adapting its coding to Common Lisp, the wel

Is intelligence determined by nature's genetic blueprints or by environment's nurturing?

What determines human intelligence? What is its relationship to creativity? Its potential for change? To illuminate some of these questions, J. McVicker Hunt has gathered together a number of essays p

Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one or two semester university course on AI, as well as an invaluable reference for researchers in the fie

Unlock your potential and lead the future with this essential guide to thriving, creating, and innovating with confidence in the age of intelligence. Embark on a transformative journey with Becoming An AI Orchestrator: A Knowledge Worker's Guide to Leading, Creating, and Thriving in the Age of Intelligence. This book is your essential guide to navigating the age of intelligence, where technology and creativity converge. Whether you're a creator, knowledge worker, or leader, you'll find invaluable insights and practical advice to help you thrive in this new era. From understanding the forces that have shaped our technological landscape to embracing the opportunities and challenges of AI, this book empowers you to lead, create, and innovate with confidence. Discover the power of AI and unlock your potential. Through engaging stories and expert guidance, you'll learn how to harness AI to enhance your work and life. This book is not just about technology; it's about empowering you to bri

This book presents a structured framework for decision-making and leadership in turbulent environments, focusing on the Three-Dimensional (3D) Thinking Framework(TM)--the use of hindsight, insight, and foresight--to navigate complexity. Contextual intelligence helps readers respond to rapid changes in organizational and personal settings. Dr. Kutz's 3D Thinking Framework(TM) and R4 Process(TM) (recognize, reorder, respond, reflect) integrate past insights, present intuition, and future aspirations into problem-solving strategies. Kutz simplifies complex concepts like VUCA (volatility, uncertainty, complexity, ambiguity), synchronicity, and tacit knowledge into actionable insights. This updated edition offers expanded content, practical examples, and new chapters on behaviors linked to contextual intelligence, enhancing 3D thinking. Full of cases and anecdotes, each chapter concludes with critical thinking questions and tools to assess and enhance contextual intelligence, guiding leader

As artificial intelligence continues to transform our world, Europe stands at the forefront of ensuring this revolutionary technology serves humanity’s best interests. This essential volume brings together experts on law, regulation, human rights, ethics, and policy to provide the first comprehensive analysis of Europe’s pioneering approach to AI regulation. From the landmark AI Act to data protection and data governance frameworks, this meticulously curated collection offers unprecedented insights into (1) the delicate balance between the public and private benefits of AI, and the public and private risks it poses; (2) the regulatory policy and regulatory strategy influencing European law-making; (3) the role of ethics and human rights in regulating AI in Europe; (4) the real-world implications of evolving European AI regulation; and (5) future challenges and opportunities in the rapidly evolving AI landscape. Distinguished contributors from the fields of legal scholarship, policymaki

The synergy between Artificial Intelligence (AI) and the Internet of Things (IoT) is shaping the future of technology and opening a world of unprecedented possibilities. Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share with readers their ideas about how to implement technical advances, application areas for intelligent systems, and development of new services and smart devices connected to the Internet through a variety of wireless technologies. Parallel to this, new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power are opening the way to new domains, services, and business models beyond the traditional mobile Internet. These new areas in turn come with various requirements in terms of reliability, quality of service, and energy efficiency. In Artificial Intelligence of Things readers learn about the challenges and requiremen

Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management presents the state-of-the-art in hybrid electric vehicle system modelling and management. With a focus on learning-based energy management strategies, the book provides detailed methods, mathematical models, and strategies designed to optimize the energy management of the energy supply module of a hybrid vehicle.The book first addresses the underlying problems in Hybrid Electric Vehicle (HEV) modeling, and then introduces several artificial intelligence-based energy management strategies of HEV systems, including those based on fuzzy control with driving pattern recognition, multi objective optimization, fuzzy Q-learning and Deep Deterministic Policy Gradient (DDPG) algorithms. To help readers apply these management strategies, the book also introduces State of Charge and State of Health prediction methods and real time driving pattern recognition. For each application, the detailed experimental process

AN INSTANT NEW YORK TIMES BESTSELLERFrom Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AISomething new entered our world in November 2022 — the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world. In Co-Intelligence, Mollick urges us to engage with AI as co-worker, co-teacher, and coach. He assesses its profound impact on business and education, using do

Journalism EthicsThis concise and authoritative work offers the latest guidance on journalism ethics for students and media professionals and will help empower news consumers to make informed decisions about the trustworthiness of their sources of information. It offers advice on all aspects of journalism ethics including accuracy and seeking the truth, representation of women, LGBTQ coverage, climate change, mental health, use of images, conflict reporting, elections, and how to use artificial intelligence. The author brings a unique perspective and depth of knowledge to the complex challenges facing journalists and news consumers in this era of fake news, disinformation, and artificial intelligence.

In Understanding Religion through Artificial Intelligence , Justin E. Lane looks at the reasons why humans feel they are part of a religious group, despite often being removed from other group members by vast distances or multiple generations. To achieve this, Lane offers a new perspective that integrates religious studies with psychology, anthropology, and data science, as well as with research at the forefront of Artificial Intelligence (AI).After providing a critical analysis of approaches to religion and social cohesion, Lane proposes a new model for religious studies, which he calls the “Information Identity System.” This model focuses on the idea of conceptual ties: links between an individual’s self-concept and the ancient beliefs of their religious group. Lane explores this idea through real-world examples, ranging from the rise in global Pentecostalism, to religious extremism and self-radicalization, to the effect of 9/11 on sermons. Lane uses this lens to show how we can und

Contesting France reveals the untold role of intelligence in shaping American perceptions of and policy towards France between 1944–1947, a critical period of the early Cold War when many feared that French Communists were poised to seize power. In doing so, it exposes the prevailing narrative of French unreliability, weakness, and communist intrigue apparent in diplomatic despatches and intelligence reports sent to the White House as both overblown and deeply contested. Likewise, it shows that local political factions, French intelligence and government officials, colonial officers, and various transnational actors in imperial outposts and in the metropole sought access to US intelligence officials in a deliberate effort to shape US policy for their own political post-war agendas. Based on extensive archival research in the US and France, Susan Perlman sheds new light on the nexus between intelligence and policymaking in the immediate post-war era.

A groundbreaking endeavor that explores human spirituality using the evolving technology of artificial intelligenceWhy are we here? What does it mean to love? How do we overcome suffering? Why do we feel so alone? Is happiness truly possible?For thousands of years, humanity has turned to the same sacred texts to explore these universal questions―from the Bible and the Tao Te Ching, to the poetry of Rumi and Sappho, to modern-day mystics. What if you could take all of the wisdom contained within these collective pages and, using the world’s most advanced artificial intelligence, receive the answers?Thanks to OpenAI, a nonprofit research lab cofounded by Elon Musk and other tech luminaries, this is now possible. OpenAI’s mission is to ensure that artificial intelligence serves the betterment of humanity―and What Makes Us Human? offers an innovative exploration of AI’s potential in this realm.To create this first-of-its-kind book, international bestselling poet Iain S. Thomas and prodigio

這本書帶領讀者重新思考人工智慧的背後代價。不只是程式與演算法，AI的運作牽涉到龐大的自然資源、人力勞動與個人資料。作者凱特・克勞佛以十多年研究為基礎，揭示AI如何重新分配權力、加劇不平等，並對民主與環境造成深遠影響，是一部兼具深度與警示意義的作品。The hidden costs of artificial intelligence—from natural resources and labor to privacy, equality, and freedom“This study argues that [artificial intelligence] is neither artificial nor particularly intelligent. . . . A fascinating history of the data on which machine-learning systems are trained.”—New Yorker“A valuable corrective to much of the hype surrounding AI and a useful instruction manual for the future.”—John Thornhill, Financial Times“It’s a masterpiece, and I haven’t been able to stop thinking about it.”—Karen Hao, senior editor, MIT Tech ReviewWhat happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award‑winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from

Applications of Computational Intelligence in Multi-Disciplinary Research provides readers with a comprehensive handbook for applying the powerful principles, concepts and algorithms of Computational

This volume offers an innovative and counter-intuitive study of how and why artificial intelligence-infused weapon systems will affect the strategic stability between nuclear-armed states. Johnson demystifies the hype surrounding artificial intelligence (AI) in the context of nuclear weapons and, more broadly, future warfare. The book highlights the potential, multifaceted intersections of this and other disruptive technology - robotics and autonomy, cyber, drone swarming, big data analytics, and quantum communications - with nuclear stability. Anticipating and preparing for the consequences of the AI-empowered weapon systems are fast becoming a critical task for national security and statecraft. Johnson considers the impact of these trends on deterrence, military escalation, and strategic stability between nuclear-armed states - especially China and the United States. The book draws on a wealth of political and cognitive science, strategic studies, and technical analysis to shed light

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system.There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that send