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| define algorithm in psychology: Adaptation-level Theory Harry Helson, 1964 |
| define algorithm in psychology: Heuristic Reasoning Emiliano Ippoliti, 2014-09-05 How can we advance knowledge? Which methods do we need in order to make new discoveries? How can we rationally evaluate, reconstruct and offer discoveries as a means of improving the ‘method’ of discovery itself? And how can we use findings about scientific discovery to boost funding policies, thus fostering a deeper impact of scientific discovery itself? The respective chapters in this book provide readers with answers to these questions. They focus on a set of issues that are essential to the development of types of reasoning for advancing knowledge, such as models for both revolutionary findings and paradigm shifts; ways of rationally addressing scientific disagreement, e.g. when a revolutionary discovery sparks considerable disagreement inside the scientific community; frameworks for both discovery and inference methods; and heuristics for economics and the social sciences. |
| define algorithm in psychology: Fundamentals of Cognitive Psychology Ronald T. Kellogg, 2015-01-07 With its reader-friendly style, this concise text offers a solid introduction to the fundamental concepts of cognitive psychology. Covering neuroimaging, emotion, and cognitive development, author Ronald T. Kellogg integrates the latest developments in cognitive neuroscience for a cutting-edge exploration of the field today. With new pedagogy, relevant examples, and an expanded full-color insert, Fundamentals of Cognitive Psychology, Third Edition is sure to engage students interested in an accessible and applied approach to cognitive psychology. |
| define algorithm in psychology: Explainable and Interpretable Models in Computer Vision and Machine Learning Hugo Jair Escalante, Sergio Escalera, Isabelle Guyon, Xavier Baró, Yağmur Güçlütürk, Umut Güçlü, Marcel van Gerven, 2018-11-29 This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning · Explanation Methods in Deep Learning · Learning Functional Causal Models with Generative Neural Networks · Learning Interpreatable Rules for Multi-Label Classification · Structuring Neural Networks for More Explainable Predictions · Generating Post Hoc Rationales of Deep Visual Classification Decisions · Ensembling Visual Explanations · Explainable Deep Driving by Visualizing Causal Attention · Interdisciplinary Perspective on Algorithmic Job Candidate Search · Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations |
| define algorithm in psychology: A Human Algorithm Flynn Coleman, 2020-10-20 A groundbreaking narrative on the urgency of ethically designed AI and a guidebook to reimagining life in the era of intelligent technology. The Age of Intelligent Machines is upon us, and we are at a reflection point. The proliferation of fast–moving technologies, including forms of artificial intelligence akin to a new species, will cause us to confront profound questions about ourselves. The era of human intellectual superiority is ending, and we need to plan for this monumental shift. A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are examines the immense impact intelligent technology will have on humanity. These machines, while challenging our personal beliefs and our socioeconomic world order, also have the potential to transform our health and well–being, alleviate poverty and suffering, and reveal the mysteries of intelligence and consciousness. International human rights attorney Flynn Coleman deftly argues that it is critical that we instill values, ethics, and morals into our robots, algorithms, and other forms of AI. Equally important, we need to develop and implement laws, policies, and oversight mechanisms to protect us from tech’s insidious threats. To realize AI’s transcendent potential, Coleman advocates for inviting a diverse group of voices to participate in designing our intelligent machines and using our moral imagination to ensure that human rights, empathy, and equity are core principles of emerging technologies. Ultimately, A Human Algorithm is a clarion call for building a more humane future and moving conscientiously into a new frontier of our own design. “[Coleman] argues that the algorithms of machine learning––if they are instilled with human ethics and values––could bring about a new era of enlightenment.” —San Francisco Chronicle |
| define algorithm in psychology: The Psychology of Problem Solving Janet E. Davidson, Robert J. Sternberg, 2003-06-09 Problems are a central part of human life. The Psychology of Problem Solving organizes in one volume much of what psychologists know about problem solving and the factors that contribute to its success or failure. There are chapters by leading experts in this field, including Miriam Bassok, Randall Engle, Anders Ericsson, Arthur Graesser, Keith Stanovich, Norbert Schwarz, and Barry Zimmerman, among others. The Psychology of Problem Solving is divided into four parts. Following an introduction that reviews the nature of problems and the history and methods of the field, Part II focuses on individual differences in, and the influence of, the abilities and skills that humans bring to problem situations. Part III examines motivational and emotional states and cognitive strategies that influence problem solving performance, while Part IV summarizes and integrates the various views of problem solving proposed in the preceding chapters. |
| define algorithm in psychology: Algorithms to Live By Brian Christian, Tom Griffiths, 2016-04-19 'Algorithms to Live By' looks at the simple, precise algorithms that computers use to solve the complex 'human' problems that we face, and discovers what they can tell us about the nature and origin of the mind. |
| define algorithm in psychology: Thinking, Fast and Slow Daniel Kahneman, 2011-10-25 *Major New York Times Bestseller *More than 2.6 million copies sold *One of The New York Times Book Review's ten best books of the year *Selected by The Wall Street Journal as one of the best nonfiction books of the year *Presidential Medal of Freedom Recipient *Daniel Kahneman's work with Amos Tversky is the subject of Michael Lewis's best-selling The Undoing Project: A Friendship That Changed Our Minds In his mega bestseller, Thinking, Fast and Slow, Daniel Kahneman, world-famous psychologist and winner of the Nobel Prize in Economics, takes us on a groundbreaking tour of the mind and explains the two systems that drive the way we think. System 1 is fast, intuitive, and emotional; System 2 is slower, more deliberative, and more logical. The impact of overconfidence on corporate strategies, the difficulties of predicting what will make us happy in the future, the profound effect of cognitive biases on everything from playing the stock market to planning our next vacation—each of these can be understood only by knowing how the two systems shape our judgments and decisions. Engaging the reader in a lively conversation about how we think, Kahneman reveals where we can and cannot trust our intuitions and how we can tap into the benefits of slow thinking. He offers practical and enlightening insights into how choices are made in both our business and our personal lives—and how we can use different techniques to guard against the mental glitches that often get us into trouble. Topping bestseller lists for almost ten years, Thinking, Fast and Slow is a contemporary classic, an essential book that has changed the lives of millions of readers. |
| define algorithm in psychology: Encyclopedia of the Sciences of Learning Norbert M. Seel, 2011-10-05 Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences. |
| define algorithm in psychology: The Psychology of Thinking John Paul Minda, 2015-09-26 How do we define thinking? Is it simply memory, perception and motor activity or perhaps something more complex such as reasoning and decision making? This book argues that thinking is an intricate mix of all these things and a very specific coordination of cognitive resources. Divided into three key sections, there are chapters on the organization of human thought, general reasoning and thinking and behavioural outcomes of thinking. These three overarching themes provide a broad theoretical framework with which to explore wider issues in cognition and cognitive psychology and there are chapters on motivation and language plus a strong focus on problem solving, reasoning and decision making – all of which are central to a solid understanding of this field. The book also explores the cognitive processes behind perception and memory, how we might differentiate expertise from skilled, competent performance and the interaction between language, culture and thought. |
| define algorithm in psychology: A Human's Guide to Machine Intelligence Kartik Hosanagar, 2020-03-10 A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence. |
| define algorithm 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. |
| define algorithm in psychology: Bounded Rationality Gerd Gigerenzer, Reinhard Selten, 2002-07-26 In a complex and uncertain world, humans and animals make decisions under the constraints of limited knowledge, resources, and time. Yet models of rational decision making in economics, cognitive science, biology, and other fields largely ignore these real constraints and instead assume agents with perfect information and unlimited time. About forty years ago, Herbert Simon challenged this view with his notion of bounded rationality. Today, bounded rationality has become a fashionable term used for disparate views of reasoning. This book promotes bounded rationality as the key to understanding how real people make decisions. Using the concept of an adaptive toolbox, a repertoire of fast and frugal rules for decision making under uncertainty, it attempts to impose more order and coherence on the idea of bounded rationality. The contributors view bounded rationality neither as optimization under constraints nor as the study of people's reasoning fallacies. The strategies in the adaptive toolbox dispense with optimization and, for the most part, with calculations of probabilities and utilities. The book extends the concept of bounded rationality from cognitive tools to emotions; it analyzes social norms, imitation, and other cultural tools as rational strategies; and it shows how smart heuristics can exploit the structure of environments. |
| define algorithm in psychology: Algorithm Design Michael T. Goodrich, Roberto Tamassia, 2001-10-15 Michael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Engineering, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective. This book offers theoretical analysis techniques as well as algorithmic design patterns and experimental methods for the engineering of algorithms. Market: Computer Scientists; Programmers. |
| define algorithm in psychology: Algorithms for Decision Making Mykel J. Kochenderfer, Tim A. Wheeler, Kyle H. Wray, 2022-08-16 A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented. |
| define algorithm in psychology: Bandit Algorithms Tor Lattimore, Csaba Szepesvári, 2020-07-16 A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems. |
| define algorithm in psychology: Psychological Testing in the Service of Disability Determination Institute of Medicine, Board on the Health of Select Populations, Committee on Psychological Testing, Including Validity Testing, for Social Security Administration Disability Determinations, 2015-06-29 The United States Social Security Administration (SSA) administers two disability programs: Social Security Disability Insurance (SSDI), for disabled individuals, and their dependent family members, who have worked and contributed to the Social Security trust funds, and Supplemental Security Income (SSSI), which is a means-tested program based on income and financial assets for adults aged 65 years or older and disabled adults and children. Both programs require that claimants have a disability and meet specific medical criteria in order to qualify for benefits. SSA establishes the presence of a medically-determined impairment in individuals with mental disorders other than intellectual disability through the use of standard diagnostic criteria, which include symptoms and signs. These impairments are established largely on reports of signs and symptoms of impairment and functional limitation. Psychological Testing in the Service of Disability Determination considers the use of psychological tests in evaluating disability claims submitted to the SSA. This report critically reviews selected psychological tests, including symptom validity tests, that could contribute to SSA disability determinations. The report discusses the possible uses of such tests and their contribution to disability determinations. Psychological Testing in the Service of Disability Determination discusses testing norms, qualifications for administration of tests, administration of tests, and reporting results. The recommendations of this report will help SSA improve the consistency and accuracy of disability determination in certain cases. |
| define algorithm in psychology: Algorithmic Problem Solving Roland Backhouse, 2011-10-24 An entertaining and captivating way to learn the fundamentals of using algorithms to solve problems The algorithmic approach to solving problems in computer technology is an essential tool. With this unique book, algorithm guru Roland Backhouse shares his four decades of experience to teach the fundamental principles of using algorithms to solve problems. Using fun and well-known puzzles to gradually introduce different aspects of algorithms in mathematics and computing. Backhouse presents you with a readable, entertaining, and energetic book that will motivate and challenge you to open your mind to the algorithmic nature of problem solving. Provides a novel approach to the mathematics of problem solving focusing on the algorithmic nature of problem solving Uses popular and entertaining puzzles to teach you different aspects of using algorithms to solve mathematical and computing challenges Features a theory section that supports each of the puzzles presented throughout the book Assumes only an elementary understanding of mathematics Let Roland Backhouse and his four decades of experience show you how you can solve challenging problems with algorithms! |
| define algorithm in psychology: The Psychology of Fake News Rainer Greifeneder, Mariela Jaffe, Eryn Newman, Norbert Schwarz, 2020-08-13 This volume examines the phenomenon of fake news by bringing together leading experts from different fields within psychology and related areas, and explores what has become a prominent feature of public discourse since the first Brexit referendum and the 2016 US election campaign. Dealing with misinformation is important in many areas of daily life, including politics, the marketplace, health communication, journalism, education, and science. In a general climate where facts and misinformation blur, and are intentionally blurred, this book asks what determines whether people accept and share (mis)information, and what can be done to counter misinformation? All three of these aspects need to be understood in the context of online social networks, which have fundamentally changed the way information is produced, consumed, and transmitted. The contributions within this volume summarize the most up-to-date empirical findings, theories, and applications and discuss cutting-edge ideas and future directions of interventions to counter fake news. Also providing guidance on how to handle misinformation in an age of “alternative facts”, this is a fascinating and vital reading for students and academics in psychology, communication, and political science and for professionals including policy makers and journalists. |
| define algorithm in psychology: What Is Cognitive Psychology? Michael R. W. Dawson, 2022-08-08 What Is Cognitive Psychology? identifies the theoretical foundations of cognitive psychology—foundations which have received very little attention in modern textbooks. Beginning with the basics of information processing, Michael R. W. Dawson explores what experimental psychologists infer about these processes and considers what scientific explanations are required when we assume cognition is rule-governed symbol manipulation. From these foundations, psychologists can identify the architecture of cognition and better understand its role in debates about its true nature. This volume offers a deeper understanding of cognitive psychology and presents ideas for integrating traditional cognitive psychology with more modern fields like cognitive neuroscience. |
| define algorithm in psychology: Report of a Workshop on the Scope and Nature of Computational Thinking National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee for the Workshops on Computational Thinking, 2010-04-20 Report of a Workshop on the Scope and Nature of Computational Thinking presents a number of perspectives on the definition and applicability of computational thinking. For example, one idea expressed during the workshop is that computational thinking is a fundamental analytical skill that everyone can use to help solve problems, design systems, and understand human behavior, making it useful in a number of fields. Supporters of this viewpoint believe that computational thinking is comparable to the linguistic, mathematical and logical reasoning taught to all children. Various efforts have been made to introduce K-12 students to the most basic and essential computational concepts and college curricula have tried to provide a basis for life-long learning of increasingly new and advanced computational concepts and technologies. At both ends of this spectrum, however, most efforts have not focused on fundamental concepts. The book discusses what some of those fundamental concepts might be. Report of a Workshop on the Scope and Nature of Computational Thinking explores the idea that as the use of computational devices is becoming increasingly widespread, computational thinking skills should be promulgated more broadly. The book is an excellent resource for professionals in a wide range of fields including educators and scientists. |
| define algorithm in psychology: The Great Mental Models, Volume 1 Shane Parrish, Rhiannon Beaubien, 2024-10-15 Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage. |
| define algorithm in psychology: Theoretical Issues in Psychology Sacha Bem, Huib Looren de Jong, 2013-05-22 Bem and de Jong present complex ideas in an accessible manner. Theoretical Issues in Psychology gives undergraduate psychology students all the resources they need to begin reflecting on the most pressing conceptual issues in their discipline. - Stuart Wilson, Queen Margaret University The 3rd edition of Theoretical Issues in Psychology provides an authoritative overview of the conceptual issues in psychology which introduces the underlying philosophies that underpin them. It includes new insights across the philosophy of science combined with increased psychological coverage to show clearly how these two communities interrelate, ensuring an integrative understanding of the fundamental debates and how they link to your wider studies. Key features of this new edition include: Concise paragraphs, multiple examples and additional summaries throughout to help you focus on key areas of knowledge. Textboxes with definitions and key concepts to help your understanding of the main debates and ideas. New content on the philosophy of mind, philosophy of science, cognition and cognitive neuroscience. New up-to-date material on consciousness and evolutionary psychology. For lecturers and teachers, PowerPoint slides are available for each chapter. Sacha Bem & Huib Looren de Jong′s textbook remains essential for students taking courses in conceptual and historical issues in psychology, the philosophy of psychology or theoretical psychology. |
| define algorithm in psychology: An Introduction to Artificial Psychology Hojjatollah Farahani, Marija Blagojević, Parviz Azadfallah, Peter Watson, Forough Esrafilian, Sara Saljoughi, 2023-05-18 Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional statistical approaches have deep rooted limitations. These approaches are excellent on paper but often fail to model the real world. Mind researchers have been trying to overcome this by simplifying the models being studied. This stance has not received much practical attention recently. Promoting and improving artificial intelligence helps mind researchers to find a holistic model of mental models. This development achieves this goal by using multiple perspectives and multiple data sets together with interactive, and realistic models. In this book, the methodology of approximate inference in psychological research from a theoretical and practical perspective has been considered. Quantitative variable-oriented methodology and qualitative case-oriented methods are both used to explain the set-oriented methodology and this book combines the precision of quantitative methods with information from qualitative methods. This is a book that many researchers can use to expand and deepen their psychological research and is a book which can be useful to postgraduate students. The reader does not need an in-depth knowledge of mathematics or statistics because statistical and mathematical intuitions are key here and they will be learned through practice. What is important is to understand and use the new application of the methods for finding new, dynamic and realistic interpretations. This book incorporates theoretical fuzzy inference and deep machine learning algorithms in practice. This is the kind of book that we wished we had had when we were students. This book covers at least some of the most important issues in mind research including uncertainty, fuzziness, continuity, complexity and high dimensionality which are inherent to mind data. These are elements of artificial psychology. This book implements models using R software. |
| define algorithm in psychology: Algorithms and Law Martin Ebers, Susana Navas, 2020-07-23 Exploring issues from big-data to robotics, this volume is the first to comprehensively examine the regulatory implications of AI technology. |
| define algorithm in psychology: Trading in the Zone Mark Douglas, 2001-01-01 Douglas uncovers the underlying reasons for lack of consistency and helps traders overcome the ingrained mental habits that cost them money. He takes on the myths of the market and exposes them one by one teaching traders to look beyond random outcomes, to understand the true realities of risk, and to be comfortable with the probabilities of market movement that governs all market speculation. |
| define algorithm in psychology: Goal-Directed Decision Making Richard W. Morris, Aaron Bornstein, Amitai Shenhav, 2018-08-23 Goal-Directed Decision Making: Computations and Neural Circuits examines the role of goal-directed choice. It begins with an examination of the computations performed by associated circuits, but then moves on to in-depth examinations on how goal-directed learning interacts with other forms of choice and response selection. This is the only book that embraces the multidisciplinary nature of this area of decision-making, integrating our knowledge of goal-directed decision-making from basic, computational, clinical, and ethology research into a single resource that is invaluable for neuroscientists, psychologists and computer scientists alike. The book presents discussions on the broader field of decision-making and how it has expanded to incorporate ideas related to flexible behaviors, such as cognitive control, economic choice, and Bayesian inference, as well as the influences that motivation, context and cues have on behavior and decision-making. - Details the neural circuits functionally involved in goal-directed decision-making and the computations these circuits perform - Discusses changes in goal-directed decision-making spurred by development and disorders, and within real-world applications, including social contexts and addiction - Synthesizes neuroscience, psychology and computer science research to offer a unique perspective on the central and emerging issues in goal-directed decision-making |
| define algorithm in psychology: Judgment Under Uncertainty Daniel Kahneman, Paul Slovic, Amos Tversky, 1982-04-30 Thirty-five chapters describe various judgmental heuristics and the biases they produce, not only in laboratory experiments, but in important social, medical, and political situations as well. Most review multiple studies or entire subareas rather than describing single experimental studies. |
| define algorithm in psychology: Thinking in Algorithms Albert Rutherford, 2021-10-02 Think creatively like a human. Analyze and solve problems efficiently like a computer. Our everyday lives are filled with inefficient and ineffective decisions and solutions. Being overwhelmed by the magnitude of our problems makes it hard to think clearly. We procrastinate and overthink. Our thoughts are tainted with biases. If only there was a way to simplify our decision-making and problem-solving process and get satisfying, consistent results! The good news is, there is! Apply computer algorithms to your everyday problems. Learn what algorithms are and use them for better decision-making, problem-solving, and staying on track with your plans. Become more productive, organized, finish what you start, and make better decisions. If you feel that you're not living up to your potential, struggle with being consistent about your habits, and would like to make quicker and better decisions, this book is for you! Get things started immediately and finish them within your deadline. Thinking in Algorithms presents research and scientific studies on behavioral economics, cognitive science, and neuropsychology about what constitutes a great decision, what are and how to manage its roadblocks. This is an interdisciplinary work that will help you learn how to apply computer algorithm-based solutions to your life challenges. Know when to stop. Be efficient with your time and energy. Albert Rutherford is an internationally bestselling author whose writing derives from various sources, such as research, coaching, academic and real-life experience. Machine learning principles for the laymen. - Learn to build your own problem-solving algorithms using a unique formula. - The science of optimal stopping. - How to overcome procrastination and overthinking using algorithms. Help your emotional, biased brain to make more rational and predictable decisions and follow through plans using algorithm-based problem-solving today! Not convinced yet? Check out the look inside feature of this book hitting the top left corner of this page and read the first pages for free! |
| define algorithm in psychology: Educational Research and Innovation The Nature of Problem Solving Using Research to Inspire 21st Century Learning OECD, 2017-04-11 Solving non-routine problems is a key competence in a world full of changes, uncertainty and surprise where we strive to achieve so many ambitious goals. But the world is also full of solutions because of the extraordinary competences of humans who search for and find them. |
| define algorithm in psychology: The Abacus Jesse Dilson, 2013-07-30 The abacus is as useful and effecient a machine today as it was when it was first created centures ago. Whether you're an expert in the latest computer technology or you're mastering arithmetic and word problems for the first time, it won't take long to learn the basics (and even the not-so-basics) of adding, subtracting, multiplying, and dividing on this ingenious and fun-to-use mathematical tool. |
| define algorithm in psychology: The Age of Algorithms Serge Abiteboul, Gilles Dowek, 2020-04-01 Algorithms are probably the most sophisticated tools that people have had at their disposal since the beginnings of human history. They have transformed science, industry, society. They upset the concepts of work, property, government, private life, even humanity. Going easily from one extreme to the other, we rejoice that they make life easier for us, but fear that they will enslave us. To get beyond this vision of good vs evil, this book takes a new look at our time, the age of algorithms. Creations of the human spirit, algorithms are what we made them. And they will be what we want them to be: it's up to us to choose the world we want to live in. |
| define algorithm in psychology: The Spike Mark Humphries, 2021-03-09 The story of a neural impulse and what it reveals about how our brains work We see the last cookie in the box and think, can I take that? We reach a hand out. In the 2.1 seconds that this impulse travels through our brain, billions of neurons communicate with one another, sending blips of voltage through our sensory and motor regions. Neuroscientists call these blips “spikes.” Spikes enable us to do everything: talk, eat, run, see, plan, and decide. In The Spike, Mark Humphries takes readers on the epic journey of a spike through a single, brief reaction. In vivid language, Humphries tells the story of what happens in our brain, what we know about spikes, and what we still have left to understand about them. Drawing on decades of research in neuroscience, Humphries explores how spikes are born, how they are transmitted, and how they lead us to action. He dives into previously unanswered mysteries: Why are most neurons silent? What causes neurons to fire spikes spontaneously, without input from other neurons or the outside world? Why do most spikes fail to reach any destination? Humphries presents a new vision of the brain, one where fundamental computations are carried out by spontaneous spikes that predict what will happen in the world, helping us to perceive, decide, and react quickly enough for our survival. Traversing neuroscience’s expansive terrain, The Spike follows a single electrical response to illuminate how our extraordinary brains work. |
| define algorithm in psychology: A Whisper of Espionage Ronald Ley, 1990 Dr. Wolfgang Kohler, a founder of Gestalt theory and former Pres. of the Amer. Psychological Assoc., laid the cornerstone of modern cognitive psychology. His pioneering experiments with apes are considered classics. What was not known is that while researching animal behavior on Tenerife, Dr. Kohler may have also been engaged as a wartime spy for Germany in WWI. The author presents his three-year odyssey to determine the true facts in a narrative that is absolutely spellbinding. What we find is a fascinating tale that is rich in history, politics, intrigue, and betrayal -- a true-life detective story of the first magnitude. |
| define algorithm in psychology: Essential Evolutionary Psychology Simon Hampton, 2010-01-20 Essential Evolutionary Psychology introduces students to the core theories, approaches, and findings that are the necessary foundations for developing an understanding of evolutionary psychology. It offers a sound, brief, and student friendly explication of how evolutionary theory has been and is applied in psychology. The book unpicks the very essence of human evolution, and how this knowledge is used to give evolutionary accounts of four of the central pillars of human behavior - cooperation, attraction, aggression, and family formation. It also covers evolutionary accounts of abnormal behavior, language and culture. |
| define algorithm in psychology: Turing's Man J. David Bolter, 1984 Discusses the role of technology in Western civilization and examines the impact of the computer on modern culture |
| define algorithm in psychology: Exploring Expertise James Fleck, Wendy Faulkner, Robin Williams, 2016-07-27 The growing social and economic significance of expertise is reflected in popular suggestions that we are moving into a post-industrial 'knowledge society'. The subject of expertise is becoming recognised in a range of scholarly disciplines ranging from science and technology, psychology, computing and artificial intelligence through to management and organisational behaviour. Exploring Expertise brings together some of these diverse understandings of the character and implications of expertise, and demonstrates through a set of empirical case studies how expertise means different things to different groups, how it is constructed differently in different settings, and the consequences of this process for relations between 'members' of the knowledge society and those 'on the outside'. The book includes case study material ranging from a hospital ward to a factory to a nuclear weapons facility. |
| define algorithm in psychology: Psycho-Logic Jan Smedslund, 2012-12-06 Psycho-Logic is an attempt to formulate explicitly the implicit common-sense psychology embedded in everyday language and taken for granted by its users. The key concepts in this system are given definitions, and the basic assumptions are presented in the form of axioms. A number of corollaries and theorems are formally proved. The text also contains numerous notes in which the formal propositions and their broader implications are discussed. It is assumed that the relationship between psycho-logic and empirical psychology is analogous to that existing between geometry and geography. Psycho-logic and geometry both provide a formal system in terms of which one may describe and analyze respectively psychological phenomena and geographical terrains. The book should be of particular interest to practicing psychologists since it provides an analysis of the main characteristics of persons and person-interactions, emphasizing such concepts as care, respect, understanding and control. |
| define algorithm in psychology: Data Structures and Algorithm Analysis in C++, Third Edition Clifford A. Shaffer, 2012-07-26 Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses C++ as the programming language. |
| define algorithm in psychology: Engines of Logic Martin Davis, 2001 A pioneer in computer development chronicles the history of the machine, and the software that makes it tick, elucidating the core principles driving every calculation, stored record, and mouse click. Originally published as The Universal Computer. Reprint. |
DEFINE Definition & Meaning - Merriam-Webster
The meaning of DEFINE is to determine or identify the essential qualities or meaning of. How to use define in a sentence.
DEFINE Definition & Meaning | Dictionary.com
Define definition: to state or set forth the meaning of (a word, phrase, etc.).. See examples of DEFINE used in a sentence.
DEFINE | English meaning - Cambridge Dictionary
DEFINE definition: 1. to say what the meaning of something, especially a word, is: 2. to explain and describe the…. Learn more.
DEFINE definition and meaning | Collins English Dictionary
If you define something, you show, describe, or state clearly what it is and what its limits are, or what it is like. We were unable to define what exactly was wrong with him. [ VERB wh ]
Define - definition of define by The Free Dictionary
define - show the form or outline of; "The tree was clearly defined by the light"; "The camera could define the smallest object"
DEFINE - Definition & Meaning - Reverso English Dictionary
Define definition: state the meaning of a word or phrase. Check meanings, examples, usage tips, pronunciation, domains, related words.
define - Wiktionary, the free dictionary
May 13, 2025 · define (third-person singular simple present defines, present participle defining, simple past and past participle defined) To determine with precision; to mark out with …
Define: Definition, Meaning, and Examples - usdictionary.com
Dec 24, 2024 · The word "define" means to explain or clarify the meaning of something or to establish boundaries and parameters. It is a versatile word used in many contexts, from …
Define Definition & Meaning - YourDictionary
Define Sentence Examples The child's eagerness and interest carry her over many obstacles that would be our undoing if we stopped to define and explain everything. It will not be welfare (or, …
DEFINITION Definition & Meaning - Merriam-Webster
The meaning of DEFINITION is a statement of the meaning of a word or word group or a sign or symbol. How to use definition in a sentence.
DEFINE Definition & Meaning - Merriam-Webster
The meaning of DEFINE is to determine or identify the essential qualities or meaning of. How to use define in a sentence.
DEFINE Definition & Meaning | Dictionary.com
Define definition: to state or set forth the meaning of (a word, phrase, etc.).. See examples of DEFINE used in a sentence.
DEFINE | English meaning - Cambridge Dictionary
DEFINE definition: 1. to say what the meaning of something, especially a word, is: 2. to explain and describe the…. Learn more.
DEFINE definition and meaning | Collins English Dictionary
If you define something, you show, describe, or state clearly what it is and what its limits are, or what it is like. We were unable to define what exactly was wrong with him. [ VERB wh ]
Define - definition of define by The Free Dictionary
define - show the form or outline of; "The tree was clearly defined by the light"; "The camera could define the smallest object"
DEFINE - Definition & Meaning - Reverso English Dictionary
Define definition: state the meaning of a word or phrase. Check meanings, examples, usage tips, pronunciation, domains, related words.
define - Wiktionary, the free dictionary
May 13, 2025 · define (third-person singular simple present defines, present participle defining, simple past and past participle defined) To determine with precision; to mark out with …
Define: Definition, Meaning, and Examples - usdictionary.com
Dec 24, 2024 · The word "define" means to explain or clarify the meaning of something or to establish boundaries and parameters. It is a versatile word used in many contexts, from everyday …
Define Definition & Meaning - YourDictionary
Define Sentence Examples The child's eagerness and interest carry her over many obstacles that would be our undoing if we stopped to define and explain everything. It will not be welfare (or, at …
DEFINITION Definition & Meaning - Merriam-Webster
The meaning of DEFINITION is a statement of the meaning of a word or word group or a sign or symbol. How to use definition in a sentence.
