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📒Introduction To Learning And Behavior ✍ Russell A. Powell
📝Introduction to Learning and Behavior Book Synopsis : Offering a variety of innovative teaching tools, INTRODUCTION TO LEARNING AND BEHAVIOR, 4e equips students with a clear introduction to the basic principles of learning and behavior. Designed to apply learning theory and principles to the presentation of learning, it vividly illustrates how learning principles work in both animals and people. Throughout the book, the authors clearly demonstrate how the study of learning helps solve practical problems, such as improving study skills, improving relationships, raising children, and effectively stopping smoking. It reflects the latest research from the field and includes an all-new chapter on Comparative Cognition. Helping students maximize their understanding and retention of key concepts, the authors include numerous opportunities for review and self-testing. In addition, the text includes the widely popular SNIFFY THE VIRTUAL RAT LITE CD-ROM, which simulates a wide range of learning phenomena. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
📒Learning Behavior ✍ James E. Mazur
📝Learning Behavior Book Synopsis : This book reviews how people and animals learn and how their behaviors are changed as a result of learning. It describes the most important principles, theories, controversies, and experiments that pertain to learning and behavior that are applicable to diverse species and different learning situations. Both classic studies and recent trends and developments are explored, providing a comprehensive survey of the field. Although the behavioral approach is emphasized, many cognitive theories are covered as well, along with a chapter on comparative cognition. Real-world examples and analogies make the concepts and theories more concrete and relevant to students. In addition, most chapters provide examples of how the principles covered have been applied in behavior modification and therapy. Thoroughly updated, each chapter features many new studies and references that reflect recent developments in the field. Learning objectives, bold-faced key terms, practice quizzes, a chapter summary, review questions, and a glossary are included. ? The volume is intended for undergraduate or graduate courses in psychology of learning, (human) learning, introduction to learning, learning processes, animal behavior, (principles of) learning and behavior, conditioning and learning, learning and motivation, experimental analysis of behavior, behaviorism, and behavior analysis.? Highlights of the new edition include: -A new text design with more illustrations, photos, and tables. -In the Media, Spotlight on Research, and Applying the Research boxes that highlight recent applications of learning principles in psychology, education, sports, and the workplace. -Discussions of recent developments in the growing field of neuroscience. - Coverage of various theoretical perspectives to the study of learning—behavioral, cognitive, and physiological. - Expanded coverage of emerging topics such as the behavioral economics of addictions, disordered gambling, and impulsivity. -New examples, references, and research studies to ensure students are introduced to the latest developments in the field. - A website at www.routledge.com/9781138689947 where instructors will find a test bank, Powerpoint slides, and Internet links. Students will find practice questions, definitions of key terms, chapter outlines, and Internet sources for additional information.
📒The Principles Of Learning And Behavior ✍ Michael P. Domjan
📝The Principles of Learning and Behavior Book Synopsis : From habituation, classical conditioning, and instrumental conditioning to stimulus control, aversive control, and their applications to the study of cognition, this learning and behavior textbook provides a comprehensive introduction to the elementary forms of learning that have been the focus of research for much of the 20th century. Applications boxes help you understand how findings from animal research relate to human learning and behavior, while neuroscience boxes offer you insights into the brain activity underlying learning. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
📒Learning And Behavior Active Learning Edition ✍ Paul Chance
📝Learning and Behavior Active Learning Edition Book Synopsis : LEARNING AND BEHAVIOR: ACTIVE LEARNING EDITION, Sixth Edition, looks at learning as an evolutionary mechanism. Chance's book is stimulating, interactive, and filled with high-interest queries and examples. Based on the theme that learning is a biological mechanism that aids survival, this book embraces a scientific approach to behavior but is written in a lucid, clear language. The reconceived built-in workbook, which is included at the back of every text, has been pared down to be more approachable and less time-consuming for students, with a greater focus on the core concepts and vocabulary presented in the text. Probing essay questions and examples encourage students to draw connections between topics and apply the material to their own lives. Perforated pages allow professors to collect completed workbook assignments easily. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
📒Learning And Behavior ✍ Paul Chance
📝Learning and Behavior Book Synopsis : LEARNING AND BEHAVIOR, Seventh Edition, is stimulating and filled with high-interest queries and examples. Based on the theme that learning is a biological mechanism that aids survival, this book embraces a scientific approach to behavior but is written in clear, engaging, and easy-to-understand language. Available with InfoTrac Student Collections http://gocengage.com/infotrac. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
📒Motor Control And Learning ✍ Richard A. Schmidt
📝Motor Control and Learning Book Synopsis : The authors offer a comprehensive introduction to motor behaviour, aimed at students & rehabilitation professionals.
📒Introduction To Health Behavior Theory ✍ Joanna Aboyoun Hayden
📝Introduction to Health Behavior Theory Book Synopsis : Introduction to Health Behavior Theory, Second Edition is designed to provide students with an easy to understand, interesting, and engaging introduction to the theoretical basis of health education. Written with the undergraduate in mind, the text uses comprehensive and accessible explanations to help students understand what theory is, how theories are developed, and what factors influence health behavior theory. Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition.
📒Learning ✍ David A. Lieberman
📝Learning Book Synopsis : PART 1: INTRODUCTION. 1. SOME BASIC ASSUMPTIONS. Is Behavior Lawful? How Should We Discover Any Laws? Behavioral and Cognitive Approaches. The Experimental Method. The Use of Animals. An Overview of Associative Learning. Summary. PART 2: CLASSICAL CONDITIONING. 2. FOUNDATIONS OF CLASSICAL CONDITIONING. The Associative Tradition. Pavlov's Conditioned Reflexes. The Need for Control Groups. What Behaviors Can Be Conditioned? A Universal Process? Summary. 3. PRINCIPLES AND APPLICATIONS. The Laws of Association. Contingency. Preparedness. Blocking. Applications of Conditioning. Summary. 4. THEORIES OF CONDITIONING. The Rescorla-Wagner Model. The Rescorla-Wagner Model: Deriving Predictions. Evaluating the Rescorla-Wagner Model. What is Learned During Conditioning? The Determinants of Performance. Conditioning in Humans. Summary. PART 3: OPERANT CONDITIONING. 5. REINFORCEMENT. Thorndike's Law of Effect. Basic Procedures. The Reinforcer. Delay of Reinforcement. Schedules of Reinforcement. Motivation. Stimulus Control. Shaping. Summary. 6. APPLICATIONS OF REINFORCEMENT. Reinforcement in the Classroom. The Problem of Maintaining Behavior. Harmful Effects of Reinforcement. Alternatives to Reinforcement: Modeling. Alternatives to Reinforcement: Self-Control. Summary. 7. PUNISHMENT AND EXTINCTION. Punishment. Side Effects of Punishment. Application: Children's Misbehavior. Extinction. Summary. PART 4: THEORETICAL PROCESSES IN ASSOCIATIVE LEARNING. 8. WHAT IS LEARNED? Early Views. Hull's S-R Theory. Tolman's Expectations. Habits and Expectations. Complex Learning. Summary. 9. THE ROLE OF MEMORY AND ATTENTION. A Model of Human Memory. Working Memory. The Role of Attention in Coding. Coding Relationships. Retrieval. The Associative Stage. Summary. 10. THE ROLE OF THE REINFORCER. Is Reinforcement Automatic? Is Reinforcement Necessary for Learning? The Avoidance Paradox. Reinforcement and Conditioning. Choosing a Response. Summary. 11. LEARNING IN AN EVOLUTIONARY CONTEXT. The General Process View. An Evolutionary Perspective. Are Classical Conditioning and Reinforcement Uniform Processes? Variations on an Associative Theme. Summary. 12. CONCEPT LEARNING: ASSOCIATIVE AND COGNITIVE PROCESSES. Concept Learning in Humans. Concept Learning in Animals. Abstract Concepts in Animals. The Neural Network Solution (To Association, Abstraction, and Everything...). Associative Learning and Cognition. Summary. REFERENCES. ACKNOWLEDGEMENTS. AUTHOR INDEX. SUBJECT INDEX. A FINAL WORD.
📒Reinforcement Learning ✍ Richard S. Sutton
📝Reinforcement Learning Book Synopsis : Reinforcement learning is the learning of a mapping from situations to actions so as to maximize a scalar reward or reinforcement signal. The learner is not told which action to take, as in most forms of machine learning, but instead must discover which actions yield the highest reward by trying them. In the most interesting and challenging cases, actions may affect not only the immediate reward, but also the next situation, and through that all subsequent rewards. These two characteristics -- trial-and-error search and delayed reward -- are the most important distinguishing features of reinforcement learning. Reinforcement learning is both a new and a very old topic in AI. The term appears to have been coined by Minsk (1961), and independently in control theory by Walz and Fu (1965). The earliest machine learning research now viewed as directly relevant was Samuel's (1959) checker player, which used temporal-difference learning to manage delayed reward much as it is used today. Of course learning and reinforcement have been studied in psychology for almost a century, and that work has had a very strong impact on the AI/engineering work. One could in fact consider all of reinforcement learning to be simply the reverse engineering of certain psychological learning processes (e.g. operant conditioning and secondary reinforcement). Reinforcement Learning is an edited volume of original research, comprising seven invited contributions by leading researchers.
📒Introduction To Machine Learning ✍ Ethem Alpaydin
📝Introduction to Machine Learning Book Synopsis : The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.Machine learning is rapidly becoming a skill that computer science students must master before graduation. The third edition of Introduction to Machine Learning reflects this shift, with added support for beginners, including selected solutions for exercises and additional example data sets (with code available online). Other substantial changes include discussions of outlier detection; ranking algorithms for perceptrons and support vector machines; matrix decomposition and spectral methods; distance estimation; new kernel algorithms; deep learning in multilayered perceptrons; and the nonparametric approach to Bayesian methods. All learning algorithms are explained so that students can easily move from the equations in the book to a computer program. The book can be used by both advanced undergraduates and graduate students. It will also be of interest to professionals who are concerned with the application of machine learning methods.
📒Learning And Behavior ✍ James E. Mazur
📝Learning and behavior Book Synopsis :
📒An Introduction To Statistical Learning ✍ Gareth James
📝An Introduction to Statistical Learning Book Synopsis : An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
📒Behavior Analysis And Learning ✍ W. David Pierce
📝Behavior Analysis and Learning Book Synopsis : Behavior Analysis and Learning, Fourth Edition is an essential textbook covering the basic principles in the field of behavior analysis and learned behaviors, as pioneered by B. F. Skinner. The textbook provides an advanced introduction to operant conditioning from a very consistent Skinnerian perspective. It covers a range of principles from basic respondent conditioning through applied behavior analysis into cultural design. Elaborating on Darwinian components and biological connections with behavior, the book treats the topic from a consistent worldview of selectionism. The functional relations between the organism and the environment are described, and their application in accounting for old behavior and generating new behavior is illustrated. Expanding on concepts of past editions, the fourth edition provides updated coverage of recent literature and the latest findings. There is increased inclusion of biological and neuroscience material, as well as more data correlating behavior with neurological and genetic factors. The material presented in this book provides the reader with the best available foundation in behavior science and is a valuable resource for advanced undergraduate and graduate students in psychology or other behavior-based disciplines. In addition, a website of supplemental resources for instructors and students makes this new edition even more accessible and student-friendly.
📒Learning And Memory ✍ Mark A. Gluck
📝Learning and Memory Book Synopsis : Rigorously updated, with a new modular format, the second edition of Learning and Memory brings a modern perspective to the study of this key topic. Reflecting the growing importance of neuroscience in the field, it compares brain studies and behavioural approaches in human and other animal species, and is available in full-colour throughout.
📝Introduction to Psychology Gateways to Mind and Behavior Book Synopsis : Co-written by an author who garners more accolades and rave reviews from instructors and students with each succeeding edition, INTRODUCTION TO PSYCHOLOGY: GATEWAYS TO MIND AND BEHAVIOR, TWELFTH EDITION attracts and holds the attention of even difficult-to-reach students. The Twelfth Edition’s hallmark continues to be its pioneering integration of the proven-effective SQ4R learning system (Survey, Question, Read, Reflect, Review, Recite), which promotes critical thinking as it guides students step-by-step to an understanding of psychology’s broad concepts and diversity of topics. Throughout every chapter, these active learning tools -- together with the book’s example-laced writing style, discussions of positive psychology, cutting-edge coverage of the field’s new research findings, and excellent media resources -- ensure that students find the study of psychology fascinating, relevant, and above all, accessible. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
📒Psych 101 ✍ Paul Kleinman
📝Psych 101 Book Synopsis : A hands-on approach to exploring the human mind Too often, textbooks turn the noteworthy theories, principles, and experiments of psychology into tedious discourse that even Freud would want to repress. Psych 101 cuts out the boring details and statistics, and instead, gives you a lesson in psychology that keeps you engaged - and your synapses firing. From personality quizzes and the Rorschach Blot Test to B.F. Skinner and the stages of development, this primer for human behavior is packed with hundreds of entertaining psychology basics and quizzes you can't get anywhere else. So whether you're looking to unravel the intricacies of the mind, or just want to find out what makes your friends tick, Psych 101 has all the answers - even the ones you didn't know you were looking for.
📒Learning Cognitive Behavior Therapy ✍ Jesse H. Wright, M.D., Ph.D.
📝Learning Cognitive Behavior Therapy Book Synopsis : Building on its successful "read-see-do" approach, this second edition of Learning Cognitive-Behavioral Therapy: An Illustrated Guide seamlessly combines 23 all-new videos with informative text and figures, charts, worksheets, checklists, and tables to help readers not only learn the essential skills of CBT but achieve competence in this important evidence-based treatment method. Opening with an overview of core cognitive-behavior therapy (CBT) theories and techniques, leading CBT practitioners then describe and demonstrate how to build effective therapeutic relationships with CBT, conceptualize a case with the CBT model, structure sessions, and resolve common problems encountered in CBT. This updated, second edition of the best-selling and highly popular Learning Cognitive-Behavioral Therapy also features: * Ways to employ CBT to reduce suicide risk* Guidance on integrating therapies related to CBT -- including dialectical behavior therapy, mindfulness-based cognitive therapy, and well-being therapy -- in the context of personality disorders and chronic or recurrent depression* An appendix of curated resources by the expert authors -- recommended readings, computer programs, Web sites, videos, and organizations -- to give readers access to the best resources in building competence in CBT practice The all-new videos feature clinicians demonstrating methods in real-world settings and include new topics such as safety planning and uncovering and changing maladaptive schemas. Proven as one of the best teaching tools for building competence in CBT, this new edition will enrich readers' understanding and practice of CBT.
📒Understanding Applied Behavior Analysis Second Edition ✍ Albert J. Kearney
📝Understanding Applied Behavior Analysis Second Edition Book Synopsis : This introductory guide to ABA demystifies the often complex terminology, the underlying principles, and commonly-used procedures of ABA using accessible, everyday language. This revised and updated edition reflects recent developments and introduces new key terms. Albert J. Kearney explains the kinds of learning and reinforcement processes that form the basis of ABA programs. Having covered these essential principles, he describes how the science of behavior analysis can be effectively applied to real life behavior problems. He looks at how behavior is assessed and various intervention techniques that are often employed with children who have autism and other special needs. Having laid these essential foundations, Kearney touches on more advanced topics: the applications of ABA in behavioral education, such as precision teaching and programmed instruction.
📒Introduction To Educational Leadership Organizational Behavior ✍ Patti L. Chance
📝Introduction to Educational Leadership Organizational Behavior Book Synopsis : First published in 2002. Routledge is an imprint of Taylor & Francis, an informa company.
📒Understanding Culture S Influence On Behavior ✍ Richard W. Brislin
📝Understanding Culture s Influence on Behavior Book Synopsis : Written in a lively, engaging style with many examples to illustrate complex concepts, this text helps readers to understand the influence of intercultural interactions in their own lives. It introduces students to disciplines, including cross-cultural psychology, intercultural communication, and international organizational behavior, that study culture's influence on human behavior. It covers a wide range of topics, such as schooling, work, gender, socialization of children, and health. This solid treatment of basic concepts applicable in the study of all behavior and social sciences lets students see that the study of culture and cultural differences is inherently connected to the other courses they will take throughout their college careers.
📒An Introduction To The History Of Psychology ✍ B. R. Hergenhahn
📝An Introduction to the History of Psychology Book Synopsis : Dreams puzzled early man, Greek philosophers spun elaborate theories to explain human memory and perception, Descartes postulated that the brain was filled with animal spirits, and psychology was officially deemed a science in the 19th century. In this Seventh Edition of AN INTRODUCTION TO THE HISTORY OF PSYCHOLOGY, authors Hergenhahn and Henley demonstrate that most of the concerns of contemporary psychologists are manifestations of themes that have been part of psychology for hundreds--or even thousands--of years. The book's numerous photographs and pedagogical devices, along with its biographical material on key figures in psychology, engage readers and facilitate their understanding of each chapter. Available with InfoTrac Student Collections http://gocengage.com/infotrac. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.