Cognitive psychology is an enormous field with a rich history. One problem confronting instructors in cognitive psychology courses is covering such diverse topics as pattern recognition, attention, memory, language, decision-making, and problem solving. It is virtually impossible to both cover these topics and provide details regarding the beauty of the experimental studies that have tackled important topics in a single textbook. Cognitive Psychology: Key Readings helps fill this void and provides students with the opportunity to learn about the details of the actual articles and chapters that have had major influences in the development of this discipline. The classic papers were selected because they have been central in defining distinct areas of research or changing the way researchers think about a given topic. The reader can learn about the available literature that motivated a study, the theoretical rationale, and the details of the methods and results that were used to develop a better understanding of the topic. In this way, the reader can learn about the actual science of uncovering the theoretical issues, instead of simple overviews of the results. In addition, because cognitive psychology is constantly evolving, introductory sections to each topic are provided to help the reader better understand why a particular study is so important to the field. Along with an overview chapter that provides introductions to theoretical and methodological approaches that cognitive researchers have employed, Cognitive Psychology: Key Readings will begin to appreciate how scientists are unravelling how the mind works.

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According to the Sentencing Project, between 1980 and 2017, the number of incarcerated women increased by more than 750%, rising from a total of 26,378 in 1980 to 225,060 in 2017 and the number continues to rise. Dealing with incarcerated women and specifically psychopathic women can be challenging. Understanding Female Offenders: Psychopathy, Criminal Behavior, Assessment, and Treatment provides readers with a better conceptualization of the psychopathic/non-psychopathic female. This includes better ways of interviewing, assessing, and treating these women, and clinical caveats with case examples to assist with clinical applications. This is the only comprehensive resource that provides specific knowledge about female offenders, particularly on female psychopathy and assessment.

Written by highly respected theorists in psychology and philosophy, the chapters in this book explicate and address fundamental epistemological issues involved in the problem of the relationship between the individual and the collective. Different theoretical viewpoints are presented on this relationship, as well as between the nature of rationality and morality, relativism and universalism, and enculturation and internalization. Many chapters also highlight similarities and differences between these alternative frameworks and Piaget's theory, and thus correct the misperception that Piaget had nothing to say about the social dimension of development. Other chapters focus on the implications of these debates for the important topic areas of pedagogy, moral development, and the development of social understanding in infancy and childhood. Although Piaget's theory is presented and evaluated by some of the chapters in this collection, the authors remain critical and do not shy away from revising or extending Piaget's theory whenever it is deemed necessary. Though the topic covered in this book is of fundamental importance in the social sciences, it is rarely addressed in a sustained way as it is in this collection of chapters. The book benefits social scientists interested in fundamental epistemological issues, especially as these concern the relationship between the individual and the collective, with implications for the conceptualization of morality and rationality.

How is one to understand the nature of intelligence? One approach is through psychometric testing, but such an approach often puts the "cart before the horse"--the test before the theory. Another approach is to use evolutionary theory. This criterion has been suggested by a number of individuals in the past, from Charles Darwin in the more distant past to Howard Gardner, Stephen Gould, Steven Pinker, Carl Sagan, David Stenhouse, and many others. The chapters in this book address three major questions:
1. Does evolutionary theory help us understand the nature of human intelligence?
2. If so, what does it tell us about the nature of human intelligence?
3. And if so, how has intelligence evolved?
The goal of this book is to present diverse points of view on the evolution of intelligence as offered by leading experts in the field. In particular, it may be possible to better understand the nature and societal implications of intelligence by understanding how and why it has evolved as it has. This book is unique in offering a diversity of points of view on the topic of the evolution of human intelligence.

Recent work in cognitive science, much of it placed in opposition to a computational view of the mind, has argued that the concept of representation and theories based on that concept are not sufficient to explain the details of cognitive processing. These attacks on representation have focused on the importance of context sensitivity in cognitive processing, on the range of individual differences in performance, and on the relationship between minds and the bodies and environments in which they exist. In each case, models based on traditional assumptions about representation have been assumed to be too rigid to account for the effects of these factors on cognitive processing. In place of a representational view of mind, other formalisms and methodologies, such as nonlinear differential equations (or dynamical systems) and situated robotics, have been proposed as better explanatory tools for understanding cognition.
This book is based on the notion that, while new tools and approaches for understanding cognition are valuable, representational approaches do not need to be abandoned in the course of constructing new models and explanations. Rather, models that incorporate representation are quite compatible with the kinds of complex situations being modeled with the new methods. This volume illustrates the power of this explicitly representational approach--labeled "cognitive dynamics"--in original essays by prominent researchers in cognitive science. Each chapter explores some aspect of the dynamics of cognitive processing while still retaining representations as the centerpiece of the explanations of the key phenomena. These chapters serve as an existence proof that representation is not incompatible with the dynamics of cognitive processing. The book is divided into sections on foundational issues about the use of representation in cognitive science, the dynamics of low level cognitive processes (such as visual and auditory perception and simple lexical priming), and the dynamics of higher cognitive processes (including categorization, analogy, and decision making).

"I wake in the night and the emotions are there. I am afraid of the future, alone. I am tormented by my incapacity to meet what is expected of me. It would be easier just to be dead". What is the meaning of such emotions? What is emotion itself? What is really happening in therapy when people "express their emotions"? As James Hillman writes in his new preface to this sweeping study, he intends nothing less than "to vitalize a standard topic of academic psychology by making the theory of emotion as crucial as is emotion itself in our lives". The central part of the book offers an informative and readable survey of a range of theories of emotion. Although Hillman focuses on the twentieth century, he moves with ease from Greek thought to early Christianity to nineteenth-century German physiology. Hillman's "phenomenology of theories" uncovers the intellectual heritage that underlies the concepts used by therapists today. Whenever we conceive of emotion in terms of equilibrium and disturbance, tension and release, or conflict and resolution, we are taking part in complex traditions which for the most part remain unspoken or misunderstood. Hillman's work challenges us to rethink our concepts and thereby to re-experience emotional phenomena. Hillman reunites the insights he has discovered into an integrated understanding of emotion. Drawing fruitfully on Aristotle and Jung, he describes emotion as a bodily condition, as a process that is intrinsically directed toward a beneficial transformation, and as the result of symbolic stimulus. Eschewing all reductionism, Hillman creates a powerful approach to a problem that ultimately "remains perennial and its solution ineffable". This learned studyfrom a versatile psychologist and analyst contributes to today's renewed interest in the history of the body. Furthermore, his understanding of emotions in terms of epiphany makes a stimulating contribution to phenomenology. This book is equally thought-provoking for the therapist, the philosopher, the intellectual historian, and the general reader.

This book examines the neuroscience of mathematical cognitive development from infancy into emerging adulthood, addressing both biological and environmental influences on brain development and plasticity. It begins by presenting major theoretical frameworks for designing and interpreting neuroscience studies of mathematical cognitive development, including developmental evolutionary theory, developmental systems approaches, and the triple-code model of numerical processing. The book includes chapters that discuss findings from studies using neuroscience research methods to examine numerical and visuospatial cognition, calculation, and mathematical difficulties and exceptionalities. It concludes with a review of mathematical intervention programs and recommendations for future neuroscience research on mathematical cognitive development. Featured neuroscience research methods include: Functional Magnetic Resonance Imaging (fMRI). Diffusion Tensor Imaging (DTI). Event Related Potentials (ERP). Transcranial Magnetic Stimulation (TMS). Neuroscience of Mathematical Cognitive Development is an essential resource for researchers, clinicians and related professionals, and graduate students in child and school psychology, neuroscience, educational psychology, neuropsychology, and mathematics education.

How do human beings comprehend, evaluate, and utilize the physical environments they inhabit? In this edited volume, a distinguished group of international contributers examines in detail the interconnections between what we know about, feel, and hope to accomplish in real world environments. Psychologists, planners, architects, and geographers discuss the state of knowledge in environmental cognition, building and landscape assessment, aesthetics, and decision-making. Gaps in our thinking about environmental issues are also discussed. The authors present an analysis of how our knowledge can be utilized in the design and planning of settings better suited to human needs. Of interest to psychologists, geographers, and environmental designers, Environment, Cognition, and Action examines the dynamic interplay of assessment, knowledge, and action of people in all settings relevant to daily life - home, school, office and industry.

Uniting E. Thomas Lawson's essays on the cognitive science of religion, this volume explores theoretical issues in the study of cultural phenomena such as religion, the role of imagination, and the experiments that emerge from these theories. The book begins with Lawson's influential essay ‘Towards a Cognitive Science of Religion’, which was the first to employ the phrase, and has since become widely adopted in many different disciplines. It signals to scholars in the humanities that the cognitive revolution has finally reached them and serves to introduce them to the world of science. With both newcomers and established scholars in mind, the book then focuses on theoretical issues in the field, and describes experiments exploring the connections between cognition and culture.

This groundbreaking study on the psycholinguistics of spelling presents the author's original empirical research on spelling and supplies the theoretical framework necessary to understand how children's ability to write is related to their ability to speak a language. The author explores areas in a field dominated by work traditionally concerned with the psychodynamics of reading skills and, in so doing, highlights the importance of learning to spell for both psycholinguists and educators, since as they begin to spell, children attempt to represent the phonological, or sound form, of words. The study of children's spelling can shed light on the nature of phonological systems and can illuminate the way sounds are organized into larger units, such as syllables and words. Research on children's spelling leads directly to an understanding of the way phonological knowledge is acquired and how phonological systems change with the development of reading and writing ability. In addition to this insight concerning cognitive processes, the findings presented here have implications for how spelling should be taught and why some writing systems are easier to master than others. The work will interest a wide range of cognitive and developmental psychologists, psycholinguists, and educational psychologists, as well as linguists and educators interested in psycholinguistics.

The battle between religion and science, competing methods of knowing ourselves and our world, has been raging for many centuries. Now scientists themselves are looking at cognitive foundations of religion--and arriving at some surprising conclusions.
Over the course of the past two decades, scholars have employed insights gleaned from cognitive science, evolutionary biology, and related disciplines to illuminate the study of religion. In Why Religion is Natural and Science Is Not, Robert N. McCauley, one of the founding fathers of the cognitive science of religion, argues that our minds are better suited to religious belief than to scientific inquiry. Drawing on the latest research and illustrating his argument with commonsense examples, McCauley argues that religion has existed for many thousands of years in every society because the kinds of explanations it provides are precisely the kinds that come naturally to human minds. Science, on the other hand, is a much more recent and rare development because it reaches radical conclusions and requires a kind of abstract thinking that only arises consistently under very specific social conditions. Religion makes intuitive sense to us, while science requires a lot of work. McCauley then draws out the larger implications of these findings. The naturalness of religion, he suggests, means that science poses no real threat to it, while the unnaturalness of science puts it in a surprisingly precarious position.
Rigorously argued and elegantly written, this provocative book will appeal to anyone interested in the ongoing debate between religion and science, and in the nature and workings of the human mind.

Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing visual systems.

Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing visual systems.

This volume brings together researchers in motivation from around the world to address new directions in measures and methods for motivational research. There has been a great deal of reliance on self-report measures in motivational research, but the current volume provides a number of new and different methods for assessing motivation. The volume discusses the use of projective techniques, on-line questionnaires, interviews, focus groups, observations, and multiple methods. All of these new methods will provide more dynamic and situated measures of motivation, a much needed development in motivational research. In addition, the volume addresses new data analytic techniques that allow for more dynamic assessment of motivation in context. Person-centered and variable-centered analysis techniques are discussed as well as multi-level modelling. In addition, a chapter on research synthesis is included as well as a discussion of issues of construct validity and analysis of ethnic and cultural differences in motivation. The volume offers new theoretical, conceptual, methodological, and pragmatic tools and perspectives on measuring and assessing motivation.

This work presents a new theory of how children acquire language and discusses its implications for a wide range of topics. It explores the roles of innateness and experience in language acquisition, provides further evidence for the theory of Universal Grammar, and shows how linguistic development in children is a driving force behind language shifts and changes Charles Yang surveys a wide range of errors in children's language and identifies overlooked patterns. He combines these with work in biological evolution in order to develop a model of language acquisition by which to understand the interaction between children's internal linguistic knowledge and their external linguistic experience. He then presents evidence from his own and others' research in the acquisition of syntax and morphology and data from historical language change to test its validity The model is makes quantitative and cross-linguistic predictions about child language. It may also be deployed as a predictive model of language change which, when the evidence is available, could explain why grammars change in a particular direction at a particular time.

A comprehensive look at the key theoretical principles, concepts, and research findings about learning, with special attention paid to how these concepts and principles can be applied in today's classrooms. This widely used and respected resource introduces readers to the key theoretical principles, concepts, and research findings about learning and helps them see how to apply that theory and research as educators. Learning Theories begins with a discussion of the relationship between learning theory and instruction. It then looks at the neuroscience of learning. Six chapters cover the major theories of learning - behaviorism, social cognitive theory, information processing theory, cognitive learning processes, and constructivism. The following three chapters cover key topics related to learning - motivation, self-regulated learning, and contextual influences. And the final chapter, Next Steps, helps students consolidate their views about learning. The 8th Edition has been significantly updated with a number of new features and the most current thinking and research.

Egoicism, a mindset that places primary focus upon oneself, appears to be rampant in contemporary Western cultures as commercial advertisements, popular books, song lyrics, and mobile software applications consistently promote self-interest. Although a focus on oneself has adaptive value for physical preservation, decision making, and planning, researchers have begun to address the psychological, interpersonal, and broader societal costs of excessive egoicism. In an increasingly crowded and interdependent world, there is a pressing need for investigation of alternatives to a "me and mine first" mindset. For centuries, scholars, spiritual leaders, and social activists have advocated a "hypo-egoic" way of being that is characterized by less self-concern in favor of a more inclusive, "we first" mode of functioning. In recent years, investigations of hypo-egoic functioning have been taken up by philosophers, cognitive scientists, neuroscientists, and psychologists. Edited by Kirk Warren Brown and Mark Leary, The Oxford Handbook of Hypo-egoic Phenomena brings together these vital lines of inquiry, distilling current knowledge about hypo-egoicism into a single source book. The authors of each chapter have conducted high-quality research and written authoritatively about topics that involve hypo-egoicism, all together providing an authoritative account of theory, research, and applications of hypo-egoic functioning. Part I of the book offers theoretical perspectives from philosophy and several major branches of psychology to inform our understanding of the nature of hypo-egoicism and its expressions in various domains of life. Part II presents psychological research findings regarding particular psychological phenomena in which hypo-egoicism is a prominent feature, demonstrating the implications of hypo-egoicism for well-being, emotion regulation, adaptive decision-making, positive social relations, and other markers of human well-being. Each chapter reviews the research literature regarding a particular hypo-egoic phenomenon and offers constructive criticism of the current limits of the research and important agendas for future investigation. Thus, this Handbook offers the most comprehensive and thoughtful analyses of hypo-egoicism to date.

A pioneering text in its first edition, this revised publication of Cognitive Poetics offers a rigorous and principled approach to literary reading and analysis. The second edition of this seminal text features: * updated theory, frameworks, and examples throughout, including new explanations of literary meaning, the power of reading, literary force, and emotion; * extended examples of literary texts from Old English to contemporary literature, covering genres including religious, realist, romantic, science fictional, and surrealist texts, and encompassing poetry, prose, and drama; * new chapters on the mind-modelling of character, the building of text-worlds, the feeling of immersion and ambience, and the resonant power of emotion in literature; * fully updated and accessible accounts of Cognitive Grammar, deictic shifts, prototypicality, conceptual framing, and metaphor in literary reading. Encouraging the reader to adopt a fresh approach to understanding literature and literary analyses, each chapter introduces a different framework within cognitive poetics and relates it to a literary text. Accessibly written and reader-focused, the book invites further explorations either individually or within a classroom setting. This thoroughly revised edition of Cognitive Poetics includes an expanded further reading section and updated explorations and discussion points, making it essential reading for students on literary theory and stylistics courses, as well as a fundamental tool for those studying critical theory, linguistics, and literary studies.

Cognitive Science is an avowedly multidisciplinary field, drawing upon many traditional disciplines or research areas-including Linguistics, Neuroscience, Philosophy, Psychology, Anthropology, Artificial Intelligence, and Education-that contribute to our understanding of cognition. Just as learning and memory cannot truly prove effective as disconnected studies, practical applications of cognitive research, such as the improvement of education and human-computer interaction, require dealing with more complex cognitive phenomena by integrating the methods and insights from multiple traditional disciplines. The societal need for such applications has played an important role in the development of cognitive science. The Oxford Handbook of Cognitive Science emphasizes the research and theory that is most central to modern cognitive science. Sections of the volume address computational theories of human cognitive architecture; cognitive functioning, such as problem solving and decision making as they have been studied with both experimental methods and formal modeling approaches; and cognitive linguistics and the advent of big data. Chapters provide concise introductions to the present achievements of cognitive science, supplemented by references to suggested reading, and additional facets of cognitive science are discussed in the handbook's introductory chapter, complementing other key publications to access for further study. With contributions from among the best representatives in their fields, this volume will appeal as the critical resource for the students in training who determine the future of cognitive science.

The topic of consciousness is truly multidisciplinary, attracting researchers and theorists from diverse backgrounds. It is now widely accepted that previously disparate areas all have contributions to make to the understanding of the nature of consciousness. Thus, we now have computational scientists, neuroscientists, and philosophers all engaged in the same effort. This book illustrates these three approaches, with chapters provided by some of the most important and provocative figures in the field. The first section is concerned with philosophical approaches to consciousness. One of the fundamental issues here is that of subjective feeling or qualia. The second section focuses on approaches from cognitive neuroscience. Patients with different types of neurological problems, and new imaging techniques, provide rich sources of data for studying how consciousness relates to brain function. The third section includes computational approaches looking at the quantitative relationship between brain processes and conscious experience. Cognition, Computation, and Consciousness represents a uniquely integrated and current account of this most fascinating and intractable subject.

In the wake of fresh allegations that personal data of Facebook users have been illegally used to influence the outcome of the US general election and the Brexit vote, the debate over manipulation of social Big Data continues to gain more momentum. Cyber Influence and Cognitive Threats addresses various emerging challenges in response to cybersecurity, examining cognitive applications in decision-making, behaviour and basic human interaction. The book examines the role of psychology in cybersecurity by addressing each factor involved in the process: hackers, targets, cybersecurity practitioners, and the wider social context in which these groups operate. Cyber Influence and Cognitive Threats covers a variety of topics including information systems, psychology, sociology, human resources, leadership, strategy, innovation, law, finance and others.

'Wendy Wood is the world's foremost expert in the field, and this book is essential' - Angela Duckworth, bestselling author of Grit. What if you could harness the extraordinary power of your unconscious mind, which already determines so much of what you do, to achieve your goals? Shockingly, we spend nearly half our day repeating things we've done in the past without thinking about them. How we respond to the people around us; the way we conduct ourselves in meetings; what we buy; when and how we exercise, eat and drink - a truly remarkable number of things we do every day, we do by habit. And yet, whenever we want to change something about ourselves, we rely on willpower alone. We hope that our determination and intention will be enough to effect positive change. And that is why almost all of us fail. Professor Wendy Wood is the world's foremost expert on habits. By drawing on three decades of original research, she explains the fascinating science of how we form habits and provides the key to unlocking our habitual mind in order to make the changes we seek. Combining a potent mix of neuroscience, case studies and experiments conducted in her lab, Good Habits, Bad Habits is a comprehensive, accessible and highly practical book that will change the way you think about almost every aspect of your life.

This edited book offers a broad selection of interdisciplinary studies within cognitive science. The book illustrates and documents how cognitive science offers a unifying framework for the interaction of fields of study focusing on the human mind from linguistics and philosophy to psychology and the history of science. A selection of renowned contributors provides authoritative historical, theoretical and empirical perspectives on more than six decades of research with a special focus on the progress of cognitive science in Central Europe. Readers encounter a bird's eye view of geographical and linguistic diversity brought about by the cognitive revolution, as it is reflected in the writings of leading authors, many of whom are former students and collaborators of Csaba Pleh, a key figure of the cognitive turn in Central Europe, to whom this book is dedicated. The book appeals to students and researchers looking for the ways various approaches to the mind and the brain intersect.

This book provides an introduction to nineteen popular multiple intelligences. Part One discusses general intelligence, psychological testing, naturalistic intelligence, social intelligence, emotional intelligence, interpersonal intelligence, and cultural intelligence. Part Two tackles machine intelligence, the development of artificial intelligence, computational intelligence, and digital intelligence, or the ability for humans to adapt to a digital environment. Finally, Part Three discusses the role of intelligence in business development, using technology to augment intelligence, abstract thinking, swarm and animal intelligence, military intelligence, and musical intelligence. A Primer on Multiple Intelligences is a must-read for graduate students or scholars considering researching cognition, perception, motivation, and artificial intelligence. It will also be of use to those in social psychology, computer science, and pedagogy. It is as a valuable resource for anyone interested in learning more about the multifaceted study of intelligence.

Bringing together active neuroscientists, neurophilosophers, and scholars this volume considers the prospects of a neuroscientifically-informed pragmatism and a pragmatically-informed neuroscience on issues ranging from the nature of mental life to the implications of neuroscience for education and ethics.