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artificial intelligence in psychology: Artificial Intelligence in Behavioral and Mental Health Care David D. Luxton, 2015-09-10 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 |
artificial intelligence in psychology: Artificial Intelligence in Psychology Margaret A. Boden, 1989 This collection of Margaret Boden's essays written between 1982 and 1988 focuses on the relevance of artificial intelligence to psychology. |
artificial intelligence in psychology: Artificial Psychology James A. Crowder, John Carbone, Shelli Friess, 2019-05-21 This book explores the subject of artificial psychology and how the field must adapt human neuro-psychological testing techniques to provide adequate cognitive testing of advanced artificial intelligence systems. It shows how classical testing methods will reveal nothing about the cognitive nature of the systems and whether they are learning, reasoning, and evolving correctly; for these systems, the authors outline how testing techniques similar to/adapted from human psychological testing must be adopted, particularly in understanding how the system reacts to failure or relearning something it has learned incorrectly or inferred incorrectly. The authors provide insights into future architectures/capabilities that artificial cognitive systems will possess and how we can evaluate how well they are functioning. It discusses at length the notion of human/AI communication and collaboration and explores such topics as knowledge development, knowledge modeling and ambiguity management, artificial cognition and self-evolution of learning, artificial brain components and cognitive architecture, and artificial psychological modeling. Explores the concepts of Artificial Psychology and Artificial Neuroscience as applied to advanced artificially cognitive systems; Provides insight into the world of cognitive architectures and biologically-based computing designs which will mimic human brain functionality in artificial intelligent systems of the future; Provides description and design of artificial psychological modeling to provide insight into how advanced artificial intelligent systems are learning and evolving; Explores artificial reasoning and inference architectures and the types of modeling and testing that will be required to trust an autonomous artificial intelligent systems. |
artificial intelligence in psychology: Artificial Intelligence in Psychology Margaret A. Boden, 1989 This collection of Margaret Boden's essays written between 1982 and 1988 focuses on the relevance of artificial intelligence to psychology. With her usual clarity and eye for the key role that each discipline plays in the science of the mind, Boden ties the essays together in a thorough synoptic overview. She outlines the various approaches, from Babbage's contributions, through the work of Turing and von Neumann, to the latest theories of parallel processing, and the questions that researchers in AI and psychology must ask to ascertain if there might be a discipline termed computational psychology Many theoretical psychologists today believe that the science of artificial intelligence can include all of the phenomena generated by the human mind. This functionalist approach views the mind as a representational system and psychology as the study of the various computational processes whereby mental representations are constructed, organized, and interpreted. Disagreements abound, however, about how various psychological phenomena can be explained in computational terms; there is disagreement, too, about which AI concepts and which of the computermodeling methodologies will prove most useful from the psychologist's point of view. All of these issues are raised and clearly investigated here. The essays include Fashions of Mind; Is Computational Psychology Constructivist? Does Artificial Intelligence Need Artificial Brains? Intentionality and Physical Systems; Escaping from the Chinese Room; Is Equilibration Important? Artificial Intelligence and Biological Intelligence. Educational Implications of Artificial Intelligence. Margaret A Boden is Professor of Philosophy and Psychology, and Founding Dean of the School of Cognitive Sciences at the University of Sussex. Artificial Intelligence in Psychology is included in the series Explorations in Cognitive Science, A Bradford Book |
artificial intelligence in psychology: Artificial Psychology Jay Friedenberg, 2010-10-18 Is it possible to construct an artificial person? Researchers in the field of artificial intelligence have for decades been developing computer programs that emulate human intelligence. This book goes beyond intelligence and describes how close we are to recreating many of the other capacities that make us human. These abilities include learning, creativity, consciousness, and emotion. The attempt to understand and engineer these abilities constitutes the new interdisciplinary field of artificial psychology, which is characterized by contributions from philosophy, cognitive psychology, neuroscience, computer science, and robotics. This work is intended for use as a main or supplementary introductory textbook for a course in cognitive psychology, cognitive science, artificial intelligence, or the philosophy of mind. It examines human abilities as operating requirements that an artificial person must have and analyzes them from a multidisciplinary approach. The book is comprehensive in scope, covering traditional topics like perception, memory, and problem solving. However, it also describes recent advances in the study of free will, ethical behavior, affective architectures, social robots, and hybrid human-machine societies. |
artificial intelligence in psychology: Mind Design II John Haugeland, 1997-03-06 Mind design is the endeavor to understand mind (thinking, intellect) in terms of its design (how it is built, how it works). Unlike traditional empirical psychology, it is more oriented toward the how than the what. An experiment in mind design is more likely to be an attempt to build something and make it work—as in artificial intelligence—than to observe or analyze what already exists. Mind design is psychology by reverse engineering. When Mind Design was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's Computing Machinery and Intelligence) and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are philosophical in that they address fundamental issues and concepts; and all are scientific in that they are technically sophisticated and concerned with concrete empirical research. Contributors Rodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A.M. Turing, Timothy van Gelder |
artificial intelligence in psychology: The Psychology of Artificial Intelligence Tony Prescott, 2024-07-02 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. |
artificial intelligence in psychology: Artificial Intelligence Margaret A. Boden, 2018-08-13 The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. In this Very Short Introduction , Margaret A. Boden reviews the philosophical and technological challenges raised by Artificial Intelligence, considering whether programs could ever be really intelligent, creative or even conscious, and shows how the pursuit of Artificial Intelligence has helped us to appreciate how human and animal minds are possible. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable. |
artificial intelligence in psychology: The Age of Artificial Intelligence: An Exploration Steven S. Gouveia, 2020-07-07 With worldwide spending estimates of over $97 billion by 2023, it is no surprise that Artificial Intelligence (A.I.) is one of the hottest topics at present in both the private and public spheres. Comprising of vital contributions from the most influential researchers in the field, including Daniel Dennett, Roman V. Yampolskiy, Frederic Gilbert, Stevan Harnad, David Pearce, Natasha Vita-More, Vernon Vinge and Ben Goertzel, ‘The Age of Artificial Intelligence: An Exploration’ discusses a variety of topics ranging from the various ethical issues associated with A.I. based technologies in terms of morality and law to subjects related to artificial consciousness, artistic creativity and intelligence. The volume is organized as follows: Section I is dedicated to reflections on the Intelligence of A.I., with chapters by Soenke Ziesche and Roman V. Yampolskiy, Stevan Harnad, Daniel Dennett and David Pearce. Next, Section II discusses the relationship between consciousness, simulation and artificial intelligence, with chapters by Gabriel Axel Montes and Ben Goertzel, Cody Turner, Nicole Hall and Steven S. Gouveia. Section III, dedicated to aesthetical creativity and language in artificial intelligence, includes chapters by Caterina Moruzzi, René Mogensen, Mariana Chinellato Ferreira and Kulvinder Panesar. The subsequent Section IV is on the Ethics of the Bionic Brain with the participation of Peter A. DePergola II, Tomislav Miletić and Frederic Gilbert, Aníbal M. Astobiza, Txetxu Ausin, Ricardo M. Ferrer and Stephen Rainey and Natasha Vita-More. Finally, Section V follows on the Ethics of Artificial Intelligence with chapters by Federico Pistono and Roman V. Yamploskiy, Hasse Hämäläinen, Vernon Vinge and Eray Özkural. The Age of Artificial Intelligence is imminent, if not here already. We should ensure that we invest in the right people and the right ideas to create the best possible solutions to the problems of the present and prepare for those of the future. This edited volume will be of particular interest to researchers in the field of A.I. as well of those in Cognitive Science (Philosophy of the Mind, Neuroscience, and Linguistics), Aesthetics and Arts, Applied Ethics and Political Philosophy / Law. Students studying the aforementioned topics can also benefit from its contents. |
artificial intelligence in psychology: Readings in Cognitive Science Allan Collins, Edward E. Smith, 2013-10-02 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 in psychology: The Cambridge Handbook of Technology and Employee Behavior Richard N. Landers, 2019-02-14 Experts from across all industrial-organizational (IO) psychology describe how increasingly rapid technological change has affected the field. In each chapter, authors describe how this has altered the meaning of IO research within a particular subdomain and what steps must be taken to avoid IO research from becoming obsolete. This Handbook presents a forward-looking review of IO psychology's understanding of both workplace technology and how technology is used in IO research methods. Using interdisciplinary perspectives to further this understanding and serving as a focal text from which this research will grow, it tackles three main questions facing the field. First, how has technology affected IO psychological theory and practice to date? Second, given the current trends in both research and practice, could IO psychological theories be rendered obsolete? Third, what are the highest priorities for both research and practice to ensure IO psychology remains appropriately engaged with technology moving forward? |
artificial intelligence in psychology: The Psychology of Artificial Superintelligence Joachim Diederich, 2021-05-17 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. |
artificial intelligence in psychology: Artificial Intelligence John Haugeland, 1989-01-06 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, proclaiming dominion. It's so simple and obvious, each side maintains, only a fanatic could disagree. Deciding where the truth lies between these two extremes is the main purpose of John Haugeland's marvelously lucid and witty book on what artificial intelligence is all about. Although presented entirely in non-technical terms, it neither oversimplifies the science nor evades the fundamental philosophical issues. Far from ducking the really hard questions, it takes them on, one by one. Artificial intelligence, Haugeland notes, is based on a very good idea, which might well be right, and just as well might not. That idea, the idea that human thinking and machine computing are radically the same, provides the central theme for his illuminating and provocative book about this exciting new field. After a brief but revealing digression in intellectual history, Haugeland systematically tackles such basic questions as: What is a computer really? How can a physical object mean anything? What are the options for computational organization? and What structures have been proposed and tried as actual scientific models for intelligence? In a concluding chapter he takes up several outstanding problems and puzzles—including intelligence in action, imagery, feelings and personality—and their enigmatic prospects for solution. |
artificial intelligence in psychology: Artificial Intelligence Rainer Born, 2018-05-15 The purpose of this book, originally published in 1987, was to contribute to the advance of artificial intelligence (AI) by clarifying and removing the major sources of philosophical confusion at the time which continued to preoccupy scientists and thereby impede research. Unlike the vast majority of philosophical critiques of AI, however, each of the authors in this volume has made a serious attempt to come to terms with the scientific theories that have been developed, rather than attacking superficial ‘straw men’ which bear scant resemblance to the complex theories that have been developed. For each is convinced that the philosopher’s responsibility is to contribute from his own special intellectual point of view to the progress of such an important field, rather than sitting in lofty judgement dismissing the efforts of their scientific peers. The aim of this book is thus to correct some of the common misunderstandings of its subject. The technical term Artificial Intelligence has created considerable unnecessary confusion because of the ordinary meanings associated with it, and for that very reason, the term is endlessly misused and abused. The essays collected here all aim to expound the true nature of AI, and to remove the ill-conceived philosophical discussions which seek answers to the wrong questions in the wrong ways. Philosophical discussions and decisions about the proper use of AI need to be based on a proper understanding of the manner in which AI-scientists achieve their results; in particular, in their dependence on the initial planning input of human beings. The collection combines the Anglo-Saxon school of analytical philosophy with scientific and psychological methods of investigation. The distinguished authors in this volume represent a cross-section of philosophers, psychologists, and computer scientists from all over the world. The result is a fascinating study in the nature and future of AI, written in a style which is certain to appeal and inform laymen and specialists alike. |
artificial intelligence in psychology: Artificial Intelligence Yorick Wilks, 2019-06-06 Artificial intelligence has long been a mainstay of science fiction and increasingly it feels as if AI is entering our everyday lives, with technology like Apple's Siri now prominent, and self-driving cars almost upon us. But what do we actually mean when we talk about 'AI'? Are the sentient machines of 2001 or The Matrix a real possibility or will real-world artificial intelligence look and feel very different? What has it done for us so far? And what technologies could it yield in the future? AI expert Yorick Wilks takes a journey through the history of artificial intelligence up to the present day, examining its origins, controversies and achievements, as well as looking into just how it works. He also considers the future, assessing whether these technologies could menace our way of life, but also how we are all likely to benefit from AI applications in the years to come. Entertaining, enlightening, and keenly argued, this is the essential one-stop guide to the AI debate. |
artificial intelligence in psychology: Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence Gogate, Lakshmi, 2013-02-28 The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence strives to combine cross-disciplinary research into one comprehensive volume to help readers gain a fuller understanding of the developmental processes and influences that makeup the progression of word learning. Blending together developmental psychology and artificial intelligence, this publication is intended for researchers, practitioners, and educators who are interested in language learning and its development as well as computational models formed from these specific areas of research. |
artificial intelligence in psychology: An Introduction to Ethics in Robotics and AI Christoph Bartneck, Christoph Lütge, Alan Wagner, Sean Welsh, 2020-08-11 This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further. |
artificial intelligence in psychology: Machine Law, Ethics, and Morality in the Age of Artificial Intelligence Thompson, Steven John, 2021-03-18 Machines and computers are becoming increasingly sophisticated and self-sustaining. As we integrate such technologies into our daily lives, questions concerning moral integrity and best practices arise. A changing world requires renegotiating our current set of standards. Without best practices to guide interaction and use with these complex machines, interaction with them will turn disastrous. Machine Law, Ethics, and Morality in the Age of Artificial Intelligence is a collection of innovative research that presents holistic and transdisciplinary approaches to the field of machine ethics and morality and offers up-to-date and state-of-the-art perspectives on the advancement of definitions, terms, policies, philosophies, and relevant determinants related to human-machine ethics. The book encompasses theory and practice sections for each topical component of important areas of human-machine ethics both in existence today and prospective for the future. While highlighting a broad range of topics including facial recognition, health and medicine, and privacy and security, this book is ideally designed for ethicists, philosophers, scientists, lawyers, politicians, government lawmakers, researchers, academicians, and students. It is of special interest to decision- and policy-makers concerned with the identification and adoption of human-machine ethics initiatives, leading to needed policy adoption and reform for human-machine entities, their technologies, and their societal and legal obligations. |
artificial intelligence in psychology: Dictionary of Cognitive Science Olivier Houdé, Daniel Kayser, Olivier Koenig, Joëlle Proust, François Rastier, 2004-03 Presents comprehensive definitions in more than 120 subjects. Topics range from 'Abduction' to 'Writing' within the domains of psychology, artificial intelligence, neuroscience, philosophy, and linguistics. |
artificial intelligence in psychology: Birth of Intelligence Daeyeol Lee, 2020 As man-made machines become more powerful and smarter, will their intelligence eventually exceed our own? To accurately predict how the relationship between human and artificial intelligence will change in the future, it is essential to understand the origin and limits of human intelligence. In Birth of Intelligence, distinguished neuroscientist Daeyeol Lee tackles these pressing fundamental issues. Lee reveals how intelligence is the ability of a biological agent to solve complex decision-making problems in diverse and unpredictable environments. Furthermore, understanding how intelligent behavior emerges from interaction among multiple learning systems will provide valuable insights into the ultimate nature of human intelligence. |
artificial intelligence in psychology: The Psychology of Expertise Robert R. Hoffman, 2014-02-25 This volume investigates our ability to capture, and then apply, expertise. In recent years, expertise has come to be regarded as an increasingly valuable and surprisingly elusive resource. Experts, who were the sole active dispensers of certain kinds of knowledge in the days before AI, have themselves become the objects of empirical inquiry, in which their knowledge is elicited and studied -- by knowledge engineers, experimental psychologists, applied psychologists, or other experts -- involved in the development of expert systems. This book achieves a marriage between experimentalists, applied scientists, and theoreticians who deal with expertise. It envisions the benefits to society of an advanced technology for capturing and disseminating the knowledge and skills of the best corporate managers, the most seasoned pilots, and the most renowned medical diagnosticians. This book should be of interest to psychologists as well as to knowledge engineers who are out in the trenches developing expert systems, and anyone pondering the nature of expertise and the question of how it can be elicited and studied scientifically. The book's scope and the pivotal concepts that it elucidates and appraises, as well as the extensive categorized bibliographies it includes, make this volume a landmark in the field of expert systems and AI as well as the field of applied experimental psychology. |
artificial intelligence in psychology: Artificial Minds Stan Franklin, 1997 Stan Franklin is the perfect tour guide through the contemporary interdisciplinary matrix of artificial intelligence, cognitive science, cognitive neuroscience, artificial neural networks, artificial life, and robotics that is producing a new paradigm of mind. Along the way, Franklin makes the case for a perspective that rejects a rigid distinction between mind and non-mind in favor of a continuum from less to more mind. |
artificial intelligence in psychology: Advances in Artificial General Intelligence Ben Goertzel, Pei Wang, 2007 Examines the creation of software programs displaying broad, deep, human-style general intelligence. This work features papers presented at the 2006 AGIRI (Artificial General Intelligence Research Institute) workshop, which illustrates that it is a fit and proper subject for serious science and engineering exploration. |
artificial intelligence in psychology: The Frontlines of Artificial Intelligence Ethics Taylor & Francis Group, 2022-04-29 This book examines the intersection of artificial intelligence, psychology, and ethics in the design and implementation of technologically supported education, decision-making, and leadership training. It is essential reading for students, researchers, and professionals in AI, psychology, ethics, engineering education, and leadership. |
artificial intelligence in psychology: The Question of Artificial Intelligence Brian P. Bloomfield, 2018-05-15 Originally published in 1987 when Artificial Intelligence (AI) was one of the most hotly debated subjects of the moment; there was widespread feeling that it was a field whose ‘time had come’, that intelligent machines lay ‘just around the corner’. Moreover, with the onset of the revolution in information technology and the proclamation from all corners that we were moving into an ‘information society’, developments in AI and advanced computing were seen in many countries as having both strategic and economic importance. Yet, aside from the glare of publicity that tends to surround new scientific ideas or technologies, it must be remembered that AI was a relative newcomer among the sciences; that it had often been the subject of bitter controversy; and that though it had been promising to create intelligent machines for some 40 years prior to publication, many believe that it had actually displayed very little substantive progress. With this background in mind, the aim of this collection of essays was to take a novel look at AI. Rather than following the path of old well-trodden arguments about definitions of intelligence or the status of computer chess programs, the objective was to bring new perspectives to the subject in order to present it in a different light. Indeed, instead of simply adding to the endless wrangling ‘for’ and ‘against’ AI, the source of such divisions is made a topic for analysis in its own right. Drawing on ideas from the philosophy and sociology of scientific knowledge, this collection therefore broke new ground. Moreover, although a great deal had been written about the social and cultural impact of AI, little had been said of the culture of AI scientists themselves – including their discourse and style of thought, as well as the choices, judgements, negotiations and competitive struggles for resources that had shaped the genesis and development of the paradigmatic structure of their discipline at the time. Yet, sociologists of science have demonstrated that the analysis of factors such as these is a necessary part of understanding the development of scientific knowledge. Hence, it was hoped that this collection would help to redress the imbalance and provide a broader and more interesting picture of AI. |
artificial intelligence in psychology: Creativity and Artificial Intelligence Francisco Câmara Pereira, 2008-08-27 Creativity and Artificial Intelligence: A Conceptual Blending Approach takes readers into a computationally plausible model of creativity. Inspired by a thorough analysis of work on creativity from the areas of philosophy, psychology, cognitive science, cognitive linguistics and artificial intelligence, the author deals with the various processes, principles and representations that lie underneath the act of creativity. Focusing on Arthur Koestler's Bisociations, which eventually lead to Turner and Fauconnier's conceptual blending framework, the book proposes a theoretical model that considers blends and their emergent structure as a fundamental cognitive mechanism. The author thus discusses the computational implementation of several aspects of conceptual blending theory, namely composition, completion, elaboration, frames and optimality constraints. Informal descriptions and examples are supplied to provide non-computer scientists as well as non-cognitive linguists with clear insights into these ideas. Several experiments are made, and their results are discussed, with particular emphasis on the validation of the creativity and conceptual blending aspects. Written by a researcher with a background in artificial intelligence, the book is the result of several years of exploration and discussion from different theoretical perspectives. As a result, the book echoes some of the criticism made on conceptual blending and creativity in artificial intelligence, and thus proposes improvements in both areas, with the aim of being a constructive contribution to these very intriguing, yet appealing, research orientations. |
artificial intelligence in psychology: Noise Daniel Kahneman, Olivier Sibony, Cass R. Sunstein, 2021-05-18 From the Nobel Prize-winning author of Thinking, Fast and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad judgments and how to make better ones—a tour de force” (New York Times). Imagine that two doctors in the same city give different diagnoses to identical patients—or that two judges in the same courthouse give markedly different sentences to people who have committed the same crime. Suppose that different interviewers at the same firm make different decisions about indistinguishable job applicants—or that when a company is handling customer complaints, the resolution depends on who happens to answer the phone. Now imagine that the same doctor, the same judge, the same interviewer, or the same customer service agent makes different decisions depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgments that should be identical. In Noise, Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein show the detrimental effects of noise in many fields, including medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection. Wherever there is judgment, there is noise. Yet, most of the time, individuals and organizations alike are unaware of it. They neglect noise. With a few simple remedies, people can reduce both noise and bias, and so make far better decisions. Packed with original ideas, and offering the same kinds of research-based insights that made Thinking, Fast and Slow and Nudge groundbreaking New York Times bestsellers, Noise explains how and why humans are so susceptible to noise in judgment—and what we can do about it. |
artificial intelligence in psychology: The Routledge Social Science Handbook of AI Anthony Elliott, 2021-07-12 The Routledge Social Science Handbook of AI is a landmark volume providing students and teachers with a comprehensive and accessible guide to the major topics and trends of research in the social sciences of artificial intelligence (AI), as well as surveying how the digital revolution – from supercomputers and social media to advanced automation and robotics – is transforming society, culture, politics and economy. The Handbook provides representative coverage of the full range of social science engagements with the AI revolution, from employment and jobs to education and new digital skills to automated technologies of military warfare and the future of ethics. The reference work is introduced by editor Anthony Elliott, who addresses the question of relationship of social sciences to artificial intelligence, and who surveys various convergences and divergences between contemporary social theory and the digital revolution. The Handbook is exceptionally wide-ranging in span, covering topics all the way from AI technologies in everyday life to single-purpose robots throughout home and work life, and from the mainstreaming of human-machine interfaces to the latest advances in AI, such as the ability to mimic (and improve on) many aspects of human brain function. A unique integration of social science on the one hand and new technologies of artificial intelligence on the other, this Handbook offers readers new ways of understanding the rise of AI and its associated global transformations. Written in a clear and direct style, the Handbook will appeal to a wide undergraduate audience. |
artificial intelligence in psychology: Philosophy, Computing and Information Science Ruth Hagengruber, Uwe Riss, 2015-10-06 Over the last four decades computers and the internet have become an intrinsic part of all our lives, but this speed of development has left related philosophical enquiry behind. Featuring the work of computer scientists and philosophers, these essays provide an overview of an exciting new area of philosophy that is still taking shape. |
artificial intelligence in psychology: Image Schemas and Concept Invention Maria M. Hedblom, 2020-06-13 In this book the author's theoretical framework builds on linguistic and psychological research, arguing that similar image-schematic notions should be grouped together into interconnected family hierarchies, with complexity increasing with regard to the addition of spatial and conceptual primitives. She introduces an image schema logic as a language to model image schemas, and she shows how the semantic content of image schemas can be used to improve computational concept invention. The book will be of value to researchers in artificial intelligence, cognitive science, psychology, and creativity. |
artificial intelligence in psychology: Cognitive Design for Artificial Minds Antonio Lieto, 2021-03-31 Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental, and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. Beginning with an overview of the historical, methodological, and technical issues in the field of cognitively inspired artificial intelligence, Lieto illustrates how the cognitive design approach has an important role to play in the development of intelligent AI technologies and plausible computational models of cognition. Introducing a unique perspective that draws upon Cybernetics and early AI principles, Lieto emphasizes the need for an equivalence between cognitive processes and implemented AI procedures, in order to realize biologically and cognitively inspired artificial minds. He also introduces the Minimal Cognitive Grid, a pragmatic method to rank the different degrees of biological and cognitive accuracy of artificial systems in order to project and predict their explanatory power with respect to the natural systems taken as a source of inspiration. Providing a comprehensive overview of cognitive design principles in constructing artificial minds, this text will be essential reading for students and researchers of artificial intelligence and cognitive science. |
artificial intelligence in psychology: Introduction to Artificial Intelligence Mariusz Flasiński, 2016-08-31 In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers. The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader. |
artificial intelligence in psychology: Handbook of Artificial intelligence in psychology Farzin Forouzani Fard, 2024-01-14 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 psychology: Intelligent Virtual Agents Jonas Beskow, Christopher Peters, Ginevra Castellano, Carol O'Sullivan, Iolanda Leite, Stefan Kopp, 2017-08-24 This book constitutes the proceedings of the 17th International Conference on Intelligent Virtual Agents, IVA 2017, held in Stockholm, Sweden, in August 2017. The 30 regular papers and 31 demo papers presented in this volume were carefully reviewed and selected from 78 submissions. The annual IVA conference represents the main interdisciplinary scientic forum for presenting research on modeling, developing, and evaluating intelligent virtual agents (IVAs) with a focus on communicative abilities and social behavior. |
artificial intelligence in psychology: Artificial Psychology Jay Friedenberg, 2010-10-18 Is it possible to construct an artificial person? Researchers in the field of artificial intelligence have for decades been developing computer programs that emulate human intelligence. This book goes beyond intelligence and describes how close we are to recreating many of the other capacities that make us human. These abilities include learning, creativity, consciousness, and emotion. The attempt to understand and engineer these abilities constitutes the new interdisciplinary field of artificial psychology, which is characterized by contributions from philosophy, cognitive psychology, neuroscience, computer science, and robotics. This work is intended for use as a main or supplementary introductory textbook for a course in cognitive psychology, cognitive science, artificial intelligence, or the philosophy of mind. It examines human abilities as operating requirements that an artificial person must have and analyzes them from a multidisciplinary approach. The book is comprehensive in scope, covering traditional topics like perception, memory, and problem solving. However, it also describes recent advances in the study of free will, ethical behavior, affective architectures, social robots, and hybrid human-machine societies. |
artificial intelligence in psychology: The Cambridge Handbook of Artificial Intelligence Keith Frankish, William M. Ramsey, 2014-06-12 An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists. |
artificial intelligence in psychology: Dictionary of Psychology Mike Cardwell, 2014-01-27 Psychology as a subject is notorious for its often confusing use of language, particularly as many words that have one meaning in common everyday language have quite a different meaning when used as specialist terms in psychology. Dictionary of Psychology is an A-Z guide to key terms in the subject. Each entry begins with a clear, one-sentence definition and is followed by explanation and examples. Entries are developed in line with the relative importance of the topic covered. For many of the more central topic areas, further commentary is included to assist the reader in acquiring a critical understanding of the topic in question. Entries are carefully cross-referenced, and the format makes the Dictionary of Psychology very easy to use. |
artificial intelligence in psychology: An Introduction to Cyberpsychology Irene Connolly, Marion Palmer, Hannah Barton, Gráinne Kirwan, 2016-03-17 An Introduction to Cyberpsychology is the first book to provide a student-oriented introduction to this rapidly growing and increasingly studied topic. It is designed to encourage students to critically evaluate the psychology of online interactions, and to develop appropriate research methodologies to complete their own work in this field. The book is comprised of four main sections: An overview of cyberpsychology and online research methodologies Social psychology in an online context The practical applications of cyberpsychology The psychological aspects of other technologies. Each chapter includes: Explanations of key terms and a glossary to facilitate understanding Content summaries to aid student learning Activity boxes, discussion questions and recommended reading to guide further study. Further resources for students and instructors are available on the book’s companion website, including audio and video links, essay questions, a multiple-choice test bank, and PowerPoint lecture slides. Uniquely combining a survey of the field with a focus on the applied areas of psychology, the book is designed to be a core text for undergraduate modules in cyberpsychology and the psychology of the internet, and a primer for students of postgraduate programs in cyberpsychology. |
artificial intelligence in psychology: Bots and Beasts Paul Thagard, 2021-10-19 An expert on mind considers how animals and smart machines measure up to human intelligence. Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts, Paul Thagard looks at how computers (bots) and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans. Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines--including Watson, AlphaZero, virtual assistants, and self-driving cars--and the most intelligent animals--including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities. |
artificial intelligence in psychology: Artificial Intelligence Stuart Russell, Peter Norvig, 2016-09-10 Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. |
Artificial Intelligence and the Field of Psychology
This Policy seeks to recognize the current and future transformative impacts present in artificial intelligence (AI) technologies, including technologies such as robotics and chatbots, data …
ARTIFICIAL INTELLIGENCE AND PSYCHOLOGY - CPA
Artificial intelligence (AI) has emerged as a transformative force in various fields, including psychology. With its ability to analyze vast amounts of data, identify patterns and make …
Artificial Psychology: The Psychology of AI - iiisci.org
Artificial Psychology is then the study of the mental processes of an Artificial Intelligence System (AIS) similar to humans [3, 4]. It is about the artificial cognitive processes required for an …
Information-Processing Psychology, Artificial Intelligence, and …
Artificial intelligence and ‘information-processing’ psychology were tightly intertwined during this critical period. As AI emerged in the 1950s, a few researchers realized that computers might …
The Psychology of Artificial Intelligenceintelligence
Psychology studies intelligence in its natural form, as seen in humans and animals. AI is concerned with the possibility of creating synthetic (human-made) intelligence in artefacts, …
Artificial intelligence in psychology: How can we enable …
Psychologists with their expertise in statistics and regarding human perception and behavior can con-tribute valuable insights to the development of innovative and useful artificial intelligence …
ROLE OF ARTIFICIAL INTELLIGENCE IN PSYCHOLOGY
Artificial intelligence (A.I.) is generally defined as the property of machines that mimic human intelligence as characterized by behaviours such as cognitive ability, memory, learning, and …
Exploring the Intersection of Psychology and Artificial …
AI has been applied to a wide range of psychological topics, from personality assessment to mental health diagnosis and treatment. This paper explores the intersection of psychology and …
Artificial intelligence in psychology: a commentary on AI’s …
Artificial intelligence (AI) is becoming increasingly pervasive in the discipline of psychology, impacting various aspects of education, research, publishing, and professional practice.
STUDY ON ARTIFICIAL INTELLIGENCE IN PSYCHOLOGY: …
The research paper on artificial intelligence in psychology explores the use of AI techniques and algorithms in the field of psychology. The paper examines the potential applications of AI in …
Artificial Intelligence: The Role of Psychology and How to …
Use the Q&A feature to type in your questions. Please take a moment to answer 2 quick poll questions about technology in the workplace. Source: Epoch, ‘Parameter, Compute and Data …
The Impact of Artificial Intelligence Technology on Individual …
Therefore, this study has three starting points from the perspective of social psychology on AI technology on individual motivation, self-cognitive motivation and social cognition needs.
The potential and perils of generative artificial intelligence in ...
Generative artificial intelligence (AI), exemplified by large language models such as ChatGPT, shows promise in mental health practice, aiding research, training and therapy. However, bias,...
Artificial Intelligence in Psychology: Interdisciplinary Essays
Artificial Intelligence in Psychology: Interdisciplinary Essays By Margaret A. Boden. Explorations in Cognitive Science Series. Cambridge, MA: MIT Press/Bradford Books, 1989. 172 pp. Text …
Psychological AI: Designing Algorithms Informed by Human …
Psychological artificial intelligence (AI) applies insights from psychology to design computer algorithms. Its core domain is decision-making under uncertainty, that is, ill-defined situations …
Psychology of Artificial Intelligence: Epistemological Markers …
Jul 16, 2024 · ficial neural network? In other words, how does an artificial intelligence fundamentally ”think,” and in what form does its knowledge reside? The psychology of artificial …
How Can Artificial Intelligence Improve Organizational …
view aims to expand the current knowledge on how Artificial Intelligence influences Human Resources, aiming to provide information on the current landscape of AI applications in the …
Integrating Artificial Intelligence with Human Psychology
Abstract: This research paper delves into the intriguing intersection of artificial intelligence (AI) and human psychology, exploring the multifaceted ways in which these domains converge and …
Artificial Intelligence at Work and Organizational Psychology: …
Artificial Intelligence (AI) has a significant and steadily growing impact on our work, affecting, sometimes profoundly, employees, leaders in/of organizations, and researchers. This
Artificial Intelligence applications and psychology: an overview
This review focuses on how machine intelligence through computer-implemented psychotherapeutic tools can enhance self-awareness. (Neuropsychopharmacol Hung 2019; …
Artificial Intelligence and the Field of Psychology
This Policy seeks to recognize the current and future transformative impacts present in artificial intelligence (AI) technologies, including technologies such as robotics and chatbots, data …
ARTIFICIAL INTELLIGENCE AND PSYCHOLOGY - CPA
Artificial intelligence (AI) has emerged as a transformative force in various fields, including psychology. With its ability to analyze vast amounts of data, identify patterns and make …
Artificial Psychology: The Psychology of AI - iiisci.org
Artificial Psychology is then the study of the mental processes of an Artificial Intelligence System (AIS) similar to humans [3, 4]. It is about the artificial cognitive processes required for an …
Information-Processing Psychology, Artificial Intelligence, …
Artificial intelligence and ‘information-processing’ psychology were tightly intertwined during this critical period. As AI emerged in the 1950s, a few researchers realized that computers might …
The Psychology of Artificial Intelligenceintelligence
Psychology studies intelligence in its natural form, as seen in humans and animals. AI is concerned with the possibility of creating synthetic (human-made) intelligence in artefacts, …
Artificial intelligence in psychology: How can we enable …
Psychologists with their expertise in statistics and regarding human perception and behavior can con-tribute valuable insights to the development of innovative and useful artificial intelligence …
ROLE OF ARTIFICIAL INTELLIGENCE IN PSYCHOLOGY
Artificial intelligence (A.I.) is generally defined as the property of machines that mimic human intelligence as characterized by behaviours such as cognitive ability, memory, learning, and …
Exploring the Intersection of Psychology and Artificial …
AI has been applied to a wide range of psychological topics, from personality assessment to mental health diagnosis and treatment. This paper explores the intersection of psychology and …
Artificial intelligence in psychology: a commentary on AI’s …
Artificial intelligence (AI) is becoming increasingly pervasive in the discipline of psychology, impacting various aspects of education, research, publishing, and professional practice.
STUDY ON ARTIFICIAL INTELLIGENCE IN PSYCHOLOGY: …
The research paper on artificial intelligence in psychology explores the use of AI techniques and algorithms in the field of psychology. The paper examines the potential applications of AI in …
Artificial Intelligence: The Role of Psychology and How to …
Use the Q&A feature to type in your questions. Please take a moment to answer 2 quick poll questions about technology in the workplace. Source: Epoch, ‘Parameter, Compute and Data …
The Impact of Artificial Intelligence Technology on …
Therefore, this study has three starting points from the perspective of social psychology on AI technology on individual motivation, self-cognitive motivation and social cognition needs.
The potential and perils of generative artificial intelligence in ...
Generative artificial intelligence (AI), exemplified by large language models such as ChatGPT, shows promise in mental health practice, aiding research, training and therapy. However, bias,...
Artificial Intelligence in Psychology: Interdisciplinary Essays
Artificial Intelligence in Psychology: Interdisciplinary Essays By Margaret A. Boden. Explorations in Cognitive Science Series. Cambridge, MA: MIT Press/Bradford Books, 1989. 172 pp. Text …
Psychological AI: Designing Algorithms Informed by Human …
Psychological artificial intelligence (AI) applies insights from psychology to design computer algorithms. Its core domain is decision-making under uncertainty, that is, ill-defined situations …
Psychology of Artificial Intelligence: Epistemological …
Jul 16, 2024 · ficial neural network? In other words, how does an artificial intelligence fundamentally ”think,” and in what form does its knowledge reside? The psychology of artificial …
How Can Artificial Intelligence Improve Organizational …
view aims to expand the current knowledge on how Artificial Intelligence influences Human Resources, aiming to provide information on the current landscape of AI applications in the …
Integrating Artificial Intelligence with Human Psychology
Abstract: This research paper delves into the intriguing intersection of artificial intelligence (AI) and human psychology, exploring the multifaceted ways in which these domains converge and …
Artificial Intelligence at Work and Organizational …
Artificial Intelligence (AI) has a significant and steadily growing impact on our work, affecting, sometimes profoundly, employees, leaders in/of organizations, and researchers. This
Artificial Intelligence applications and psychology: an …
This review focuses on how machine intelligence through computer-implemented psychotherapeutic tools can enhance self-awareness. (Neuropsychopharmacol Hung 2019; …