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This collection of Margaret Boden's essays written between 1982 and 1988 focuses on the relevance of artificial intelligence to psychology.
In the vast expanse of human understanding, few domains captivate and baffle as much as the interplay between artificial intelligence (AI) and the intricacies of human psychology. It signifies the merging of two separate realms, each teeming with its unique complexities, mysterious enigmas, and profound implications. Our journey through this book manifests as an exploration, a quest to reveal the intricate dimensions of intellect, language, emotions, cognition, character, and neuropsychology in this AI-defined era.
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. - Summarizes AI advances for use in mental health practice - Includes advances in AI based decision-making and consultation - Describes AI applications for assessment and treatment - Details AI advances in robots for clinical settings - Provides empirical data on clinical efficacy - Explores practical issues of use in clinical settings
Not since the landmark publication of Handbook of Human Intelligence in 1982 has the field of intelligence been more alive than it is today. Spurred by the new developments in this rapidly expanding field, Dr Sternberg has brought together a stellar list of contributors to provide a comprehensive, broad and deeply thematic review of intelligence that will be accessible to both scholar and student. The field of intelligence is lively on many fronts, and this volume provides full coverage on topics such as behavior-genetic models, evolutionary models, cognitive models, emotional intelligence, practical intelligence, and group difference. Handbook of Intelligence is largely expanded, covering areas such as animal and artificial intelligence, as well as human intelligence. It fully reflects important theoretical progress made since the early 1980s.
This book explores the psychological impact of advanced forms of artificial intelligence. How will it be to live with a superior intelligence? How will the exposure to highly developed artificial intelligence (AI) systems change human well-being? With a review of recent advancements in brain–computer interfaces, military AI, Explainable AI (XAI) and digital clones as a foundation, the experience of living with a hyperintelligence is discussed from the viewpoint of a clinical psychologist. The theory of universal solicitation is introduced, i.e. the demand character of a technology that wants to be used in all aspects of life. With a focus on human experience, and to a lesser extent on technology, the book is written for a general readership with an interest in psychology, technology and the future of our human condition. With its unique focus on psychological topics, the book offers contributions to a discussion on the future of human life beyond purely technological considerations.
The Affective Computing domain, term coined by Rosalind Picard in 1997, gathers several scientific areas such as computer science, cognitive science, psychology, design and art. The humane-machine interaction systems are no longer solely fast and efficient. They aim to offer to users affective experiences: user’s affective state is detected and considered within the interaction; the system displays affective state; it can reason about their implication to achieve a task or resolve a problem. In this book, we have chosen to cover various domains of research in emotion-oriented systems. Our aim is also to highlight the importance to base the computational model on theoretical foundations and on natural data.
Readings in Cognitive Science: A Perspective from Psychology and Artificial Intelligence brings together important studies that fall in the intersection between artificial intelligence and cognitive psychology. This book is composed of six chapters, and begins with the complex anatomy and physiology of the human brain. The next chapters deal with the components of cognitive science, such as the semantic memory, similarity and analogy, and learning. These chapters also consider the application of mental models, which represent the domain-specific knowledge needed to understand a dynamic system or natural physical phenomena. The remaining chapters discuss the concept of reasoning, problem solving, planning, vision, and imagery. This book is of value to psychologists, psychiatrists, neurologists, and researchers who are interested in cognition.
Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do. This volume discusses the ways in which computational ideas and computer modeling can aid our understanding of human and animal minds. Major theoretical approaches are outlined, as well as some promising recent developments. Fundamental philosophical questions are discussed along with topics such as: the differences between symbolic and connectionist AI, planning and problem solving, knowledge representation, learning, expert systems, vision, natural language, creativity, and human-computer interaction. This volume is suitable for any psychologist, philosopher, or computer scientist wanting to know the current state of the art in this area of cognitive science. - Up-to-date account of how computational ideas and techniques are relevant to psychology - Includes discussions of "classical" (symbolic) AI, of connectionism (neural nets), of evolutionary programming, and of A-Life - Discusses a wide range of psychology from low-level vision to creativity
What is Artificial Intelligence? How will AI impact society? Is AI more powerful than human intelligence? The Psychology of AI explores all aspects of the psychology–AI relationship, asking how closely AI can resemble humans, and whether this means they could have some form of self-awareness. It considers how AI systems have been modelled on human intelligence and the similarities between brains and computers, along with the current limitations of AI and how these could be overcome in the future. It also looks at how people interact with AI in their everyday lives, exploring some of the ethical and societal risks, such as bias in AI algorithms, and the consequences for our long-term future if AIs do surpass humans in important ways. As AI continues to break new milestones, The Psychology of AI answers key questions about what it really means to be human, and how AI will impact our lives in every way, now and into the future.
Addresses controversial issues that have been raised by the emergence and growth of artificial intelligence, providing discussion of the effects of funding from military sources, legal aspects of AI, the effect of AI in the workplace, and the Code for Professional Conduct for AI workers. Acidic paper. Annotation copyrighted by Book News, Inc., Portland, OR