The developing infant can accomplish all important perceptual tasks that an adult can, albeit with less skill or precision. Through infant perception research, infant responses to experiences enable researchers to reveal perceptual competence, test hypotheses about processes, and infer neural mechanisms, and researchers are able to address age-old questions about perception and the origins of knowledge. In The Cradle of Knowledge: Development of Perception in Infancy Revisited, Martha E. Arterberry and Philip J. Kellman study the methods and data of scientific research on infant perception, introducing and analyzing topics (such as space, pattern, object, and motion perception) through philosophical, theoretical, and historical contexts. Infant perception research is placed in a philosophical context by addressing the abilities with which humans appear to be born, those that appear to emerge due to experience, and the interaction of the two. The theoretical perspective is informed by the ecological tradition, and from such a perspective the authors focus on the information available for perception, when it is used by the developing infant, the fit between infant capabilities and environmental demands, and the role of perceptual learning. Since the original publication of this book in 1998 (MIT), Arterberry and Kellman address in addition the mechanisms of change, placing the basic capacities of infants at different ages and exploring what it is that infants do with this information. Significantly, the authors feature the perceptual underpinnings of social and cognitive development, and consider two examples of atypical development - congenital cataracts and Autism Spectrum Disorder. Professionals and students alike will find this book a critical resource to understanding perception, cognitive development, social development, infancy, and developmental cognitive neuroscience, as research on the origins of perception has changed forever our conceptions of how human mental life begins.

In this ground-breaking work, philosopher and cognitive scientist Andy Clark turns a common view of the human mind upside down. In stark opposition to familiar models of human cognition, Surfing Uncertainty explores exciting new theories in neuroscience, psychology, and artificial intelligence that reveal minds like ours to be prediction machines-devices that have evolved to anticipate the incoming streams of sensory stimulation before they arrive. This keeps minds like ours a few steps ahead of the game, poised to respond rapidly and apparently effortlessly to threats and opportunities as (and sometimes even before) they arise. Creatures thus equipped are more than simple response machines. They are knowing agents deep in the business of understanding their worlds. Such agents cope with changing and uncertain worlds by combining sensory evidence with informed prediction. Remarkably, the learning that makes neural prediction possible can itself be accomplished by the ceaseless effort to make better and better predictions. A single fundamental trick (the trick of trying to predict your own sensory inputs) thus enables learning, empowers moment-by-moment perception, and installs a rich understanding of the surrounding world. Action itself now appears in a new and revealing light. For action is not so much a 'response to an input' as a neat and efficient way of selecting the next 'input'. As mobile embodied agents we are forever intervening, actively bringing about the very streams of sensory information that our brains are simultaneously trying to predict. This binds perception and action in a delicate dance, a virtuous circle in which neural circuits animate, and are animated by, the movements of our own bodies. Some of our actions, in turn, structure the physical, social, and technological worlds around us. This moves the goalposts by altering the very things we need to engage and predict. Surfing Uncertainty brings work on the predictive brain into full and satisfying contact with work on the embodied and culturally situated mind. What emerges is a bold new vision of what brains do that places circular causal flows and the active structuring of the environment, center-stage. In place of cognitive couch potatoes idly awaiting the next sensory inputs, Clark's journey reveals us as proactive predictavores, skilfully surfing the waves of sensory stimulation.

Dialectical behavior therapy (DBT) is a specific type of cognitive-behavioral psychotherapy developed in the late 1980s by psychologist Marsha M. Linehan to help better treat borderline personality disorder. Since its development, it has also been used for the treatment of other kinds of mental health disorders. The Oxford Handbook of DBT charts the development of DBT from its early inception to the current cutting edge state of knowledge about both the theoretical underpinnings of the treatment and its clinical application across a range of disorders and adaptations to new clinical groups. Experts in the treatment address the current state of the evidence with respect to the efficacy of the treatment, its effectiveness in routine clinical practice and central issues in the clinical and programmatic implementation of the treatment. In sum this volume provides a desk reference for clinicians and academics keen to understand the origins and current state of the science, and the art, of DBT.

One goal of researchers in neuroscience, psychology, and artificial intelligence is to build theoretical models that can explain the flexibility and adaptiveness of biological systems. How to Build a Brain provides a guided exploration of a new cognitive architecture that takes biological detail seriously while addressing cognitive phenomena. The Semantic Pointer Architecture (SPA) introduced in this book provides a set of tools for constructing a wide range of biologically constrained perceptual, cognitive, and motor models. Examples of such models are provided to explain a wide range of data including single-cell recordings, neural population activity, reaction times, error rates, choice behavior, and fMRI signals. Each of the models addressed in the book introduces a major feature of biological cognition, including semantics, syntax, control, learning, and memory. These models are presented as integrated considerations of brain function, giving rise to what is currently the world's largest functional brain model. The book also compares the Semantic Pointer Architecture with the current state of the art, addressing issues of theory construction in the behavioral sciences, semantic compositionality, and scalability, among other considerations. The book concludes with a discussion of conceptual challenges raised by this architecture, and identifies several outstanding challenges for SPA and other cognitive architectures. Along the way, the book considers neural coding, concept representation, neural dynamics, working memory, neuroanatomy, reinforcement learning, and spike-timing dependent plasticity. Eight detailed, hands-on tutorials exploiting the free Nengo neural simulation environment are also included, providing practical experience with the concepts and models presented throughout.

Defense of Scientific Hypothesis: From Reproducibility Crisis to Big Data sets out to explain and defend the scientific hypothesis. Alger's mission is to counteract the misinformation and misunderstanding about the hypothesis that even seasoned scientists have concerning its nature and place in modern science. Most biological scientists receive little or no formal training in scientific thinking. Further, the hypothesis is under attack by critics who claim that it is irrelevant to science. In order to appreciate and evaluate scientific controversies like global climate change, vaccine safety, etc., the public first needs to understand the hypothesis. Defense of Scientific Hypothesis begins by describing and analyzing the scientific hypothesis in depth and examining its relationships to various kinds of science. Alger then guides readers through a review of the hypothesis in the context of the Reproducibility Crisis and presents survey data on how scientists perceive and employ hypotheses. He assesses cognitive factors that influence our ability to use the hypothesis and makes practical and policy recommendations for teaching and learning about it. Finally, Alger considers two possible futures of the hypothesis in science as the Big Data revolution looms: in one scenario, the hypothesis is displaced by the Big Data Mindset that forgoes understanding in favor of correlation and prediction. In the other, robotic science incorporates the hypotheses into mechanized laboratories guided by artificial intelligence. But in his illuminating epilogue, Alger envisions a third way, the Centaur Scientist, a symbiotic relationship between human scientists and computers.

Behavioural experiments are one of the central and most powerful methods of intervention in cognitive therapy. Yet until now, there has been no volume specifically dedicated to guiding physicians who wish to design and implement behavioural experiments across a wide range of clinical problems. The Oxford Guide to Behavioural Experiments in Cognitive Therapy fills this gap. It is written by clinicians for clinicians. It is a practical, easy to read handbook, which is relevant for practising clinicians at every level, from trainees to cognitive therapy supervisors. Following a foreword by David Clark, the first two chapters provide a theoretical and practical background for the understanding and development of behavioural experiments. Thereafter, the remaining chapters of the book focus on particular problem areas. These include problems which have been the traditional focus of cognitive therapy (e.g. depression, anxiety disorders), as well as those which have only more recently become a subject of study (bipolar disorder, psychotic symptoms), and some which are still in their relative infancy (physical health problems, brain injury). The book also includes several chapters on transdiagnostic problems, such as avoidance of affect, low self-esteem, interpersonal issues, and self-injurious behaviour. A final chapter by Christine Padesky provides some signposts for future development. Containing examples of over 200 behavioural experiments, this book will be of enormous practical value for all those involved in cognitive behavioural therapy, as well as stimulating exploration and creativity in both its readers and their patients.

40 simple, brain-changing neuroscience techniques for overcoming trauma. I can't ever calm down. I am emotionally numb. I can't stop thinking about what happened. I don't want to go anywhere. I can't sleep. If you've experienced trauma, you may feel emotionally numb. You may have moments where you can't "calm down," or get to sleep. You might replay the traumatic event over in your mind. And you may even isolate yourself from others. You should know that you are not alone. Many people will live through a potentially traumatic event at some point in their lives, and some will even develop symptoms of post-traumatic stress disorder (PTSD). If you're struggling with symptoms, you need effective relief--right now. This workbook can help you find it. In The Traumatic Stress Recovery Workbook, trauma and neuroscience expert Jennifer Sweeton provides forty brain-changing techniques for overcoming PTSD that you can begin using right away to build resilience, boost self-confidence, and develop self-efficacy. You'll learn what happens in your brain after experiencing trauma, and why it reacts in ways that cause even more distress. You'll also discover evidence-based strategies grounded in cutting-edge neuroscience to manage psychological and physical--or somatic--symptoms--so you can get back to your life. Using the practical and integrative approach in this workbook, you can address symptoms at your own pace. And by making small lifestyle changes, you'll carve new neural pathways in your brain and jump-start the healing process.

From the constant pull of technology to the 24-hour news cycle to the overwhelming demands of work, our ability to concentrate is being strained as never before. We're all suffering from a collective attention deficit disorder that is leaving us feeling scattered, overwhelmed, and anxious - yet unable to resist distractions like emails, Zoom calls, or new texts or notifications.

We actually use 100 per cent of our attention at every waking moment, but Dr Jha has discovered that unless we create room in our minds through specific and targeted daily practice, we cannot control what captures our attention leaving us vulnerable to every distraction, an experience she calls attention degradation. Peak Mind introduces the one cognitive training technique proven to improve attention and performance: mindfulness training. Dr Jha explains exactly how to implement this twelve-minute-a-day training program into daily life. Honed and proven in her lab, this revolutionary program will help you learn to ignore distractions and take control of your attention.

Smart and accessible, interweaving science and illustrative stories from high-level people who've successfully used her techniques, Peak Mind debunks common assumptions and offers stunning new tools to radically improve our lives.

Synthesizing thirty years of research, psychologist and science historian Michael Shermer upends the traditional thinking about how humans form beliefs about the world. Simply put, beliefs come first and explanations for beliefs follow. The brain, Shermer argues, is a belief engine. Using sensory data that flow in through the senses, the brain naturally begins to look for and find patterns, and then infuses those patterns with meaning, forming beliefs. Once beliefs are formed the brain begins to look for and find confirmatory evidence in support of those beliefs, accelerating the process of reinforcing them, and round and round the process goes in a positive-feedback loop.

In "The Believing Brain, "Shermer provides countless real-world examples of how this process operates, from politics, economics, and religion to conspiracy theories, the supernatural, and the paranormal. And ultimately, he demonstrates why science is the best tool ever devised to determine whether or not our beliefs match reality.

Experimental research by social and cognitive psychologists has established that cooperative groups solve a wide range of problems better than individuals. Cooperative problem solving groups of scientific researchers, auditors, financial analysts, air crash investigators, and forensic art experts are increasingly important in our complex and interdependent society. This comprehensive textbook--the first of its kind in decades--presents important theories and experimental research about group problem solving. The book focuses on tasks that have demonstrably correct solutions within mathematical, logical, scientific, or verbal systems, including algebra problems, analogies, vocabulary, and logical reasoning problems.

The book explores basic concepts in group problem solving, social combination models, group memory, group ability and world knowledge tasks, rule induction problems, letters-to-numbers problems, evidence for positive group-to-individual transfer, and social choice theory. The conclusion proposes ten generalizations that are supported by the theory and research on group problem solving.

"Group Problem Solving" is an essential resource for decision-making research in social and cognitive psychology, but also extremely relevant to multidisciplinary and multicultural problem-solving teams in organizational behavior, business administration, management, and behavioral economics.

A major new theory of why human intelligence has not evolved in other species The Human Evolutionary Transition offers a unified view of the evolution of intelligence, presenting a bold and provocative new account of how animals and humans have followed two powerful yet very different evolutionary paths to intelligence. This incisive book shows how animals rely on robust associative mechanisms that are guided by genetic information, which enable animals to sidestep complex problems in learning and decision making but ultimately limit what they can learn. Humans embody an evolutionary transition to a different kind of intelligence, one that relies on behavioral and mental flexibility. The book argues that flexibility is useless to most animals because they lack sufficient opportunities to learn new behavioral and mental skills. Humans find these opportunities in lengthy childhoods and through culture. Blending the latest findings in fields ranging from psychology to evolutionary anthropology, The Human Evolutionary Transition draws on computational analyses of the problems organisms face, extensive overviews of empirical data on animal and human learning, and mathematical modeling and computer simulations of hypotheses about intelligence. This compelling book demonstrates that animal and human intelligence evolved from similar selection pressures while identifying bottlenecks in evolution that may explain why human-like intelligence is so rare.

Vincent Descombes brings together an astonishingly large body of philosophical and anthropological thought to present a thoroughgoing critique of contemporary cognitivism and to develop a powerful new philosophy of the mind.

Beginning with a critical examination of American cognitivism and French structuralism, Descombes launches a more general critique of all philosophies that view the mind in strictly causal terms and suppose that the brain--and not the person--thinks. Providing a broad historical perspective, Descombes draws surprising links between cognitivism and earlier anthropological projects, such as Levi-Strauss's work on the symbolic status of myths. He identifies as incoherent both the belief that mental states are detached from the world and the idea that states of mind are brain states; these assumptions beg the question of the relation between mind and brain.

In place of cognitivism, Descombes offers an anthropologically based theory of mind that emphasizes the mind's collective nature. Drawing on Wittgenstein, he maintains that mental acts are properly attributed to the person, not the brain, and that states of mind, far from being detached from the world, require a historical and cultural context for their very intelligibility.

Available in English for the first time, this is the most outstanding work of one of France's finest contemporary philosophers. It provides a much-needed link between the continental and Anglo-American traditions, and its impact will extend beyond philosophy to anthropology, psychology, critical theory, and French studies."

'The question for me is how can the human mind occur in the physical universe. We now know that the world is governed by physics. We now understand the way biology nestles comfortably within that. The issue is how will the mind do that as well.'
--Alan Newell, December 4, 1991, Carnegie Mellon University
The argument John Anderson gives in this book was inspired by the passage above, from the last lecture by one of the pioneers of cognitive science. Newell describes what, for him, is the pivotal question of scientific inquiry, and Anderson gives an answer that is emerging from the study of brain and behavior.
Humans share the same basic cognitive architecture with all primates, but they have evolved abilities to exercise abstract control over cognition and process more complex relational patterns. The human cognitive architecture consists of a set of largely independent modules associated with different brain regions. In this book, Anderson discusses in detail how these various modules can combine to produce behaviors as varied as driving a car and solving an algebraic equation, but focuses principally on two of the modules: the declarative and procedural. The declarative module involves a memory system that, moment by moment, attempts to give each person the most appropriate possible window into his or her past. The procedural module involves a central system that strives to develop a set of productions that will enable the most adaptive response from any state of the modules. Newell argued that the answer to his question must take the form of a cognitive architecture, and Anderson organizes his answer around the ACT-R architecture, but broadens it by bringing in research from all areas of cognitive science, including how recent work in brain imaging maps onto the cogntive architecture.

Ward Edwards is well known as the father of behavioral decision making. In his 1954 Psychological Bulletin paper on decision making, he brought psychological ideas into what had been the province of economists. His influence in this realm is so pervasive that the Nobel committee was able to trace a direct path from Edwards's work to Daniel Kahneman's 2002 Prize for prospect theory. In a 1963 Psychological Review paper, Edwards brought Bayesian statistics to the attention of psychologists, who have continued to proliferate Bayesian ideas, underscoring the importance of the perspective. In a 1962 IEEE paper, Edwards foresaw how the world of intelligence gathering and analysis could by transformed by systems in which humans provided (subjective) probabilities and machines provided computational power. He also showed, in a 1986 book written with Detlof von Winterfeldt, how multiattribute utility analysis could help real-world decision makers generate satisfactory solutions to complex problems.
In this book, 29 of Ward Edwards's most important published papers are reprinted, a selection that spans six decades, allowing the reader to see how this strikingly creative thinker generated many of the ideas that are now core beliefs among current researchers. It is perhaps less well known that Edwards continued to make substantial contributions during the years after his retirement. Illness reduced his public appearances, but he continued his incisive thinking behind the scenes. At the time of his passing, he was involved in several projects, and seven new papers from these projects were completed for this book by his last set of collaborators.
Edwards's papers are a treat to read. His prose is the model of elegant simplicity, yet full of style and wit. With each paper, the editors have included a short introduction that presents Edwards's reflections on the content or impact of the older papers, or describes the creation of the new ones. Obituaries written by former students and colleagues flesh out the human side of this remarkable scholar.

This important contribution to the Minimalist Program offers a comprehensive theory of locality and new insights into phrase structure and syntactic cartography. It unifies central components of the grammar and increases the symmetry in syntax. Its central hypothesis has broad empirical application and at the same time reinforces the central premise of minimalism that language is an optimal system.
Cedric Boeckx focuses on two core components of grammar: phrase structure and locality. He argues that the domains which render syntactic processes local (such as islands, bounding nodes, barriers, and phases in all their cartographic manifestations) are better understood once reduced to, or combined with, the basic syntactic operation, Merge, and its core representation, the X-bar schema. In a detailed examination of the mechanism of phrasal projection or labelling he shows that viewing chains as X-bar phrases allows conditions on chain formation or movement to be captured.
Clearly argued, accessibly written, and illustrated with examples from a wide range of languages, Bare Syntax will appeal to linguists and others interested in syntactic theory at graduate level and above.

A radical reinterpretation of how your mind works - and why it could change your life 'An astonishing achievement. Nick Chater has blown my mind' Tim Harford 'A total assault on all lingering psychiatric and psychoanalytic notions of mental depths ... Light the touchpaper and stand well back' New Scientist We all like to think we have a hidden inner life. Most of us assume that our beliefs and desires arise from the murky depths of our minds, and, if only we could work out how to access this mysterious world, we could truly understand ourselves. For more than a century, psychologists and psychiatrists have struggled to discover what lies below our mental surface. In The Mind Is Flat, pre-eminent behavioural scientist Nick Chater reveals that this entire enterprise is utterly misguided. Drawing on startling new research in neuroscience, behavioural psychology and perception, he shows that we have no hidden depths to plumb, and unconscious thought is a myth. Instead, we generate our ideas, motives and thoughts in the moment. This revelation explains many of the quirks of human behaviour - for example why our supposedly firm political beliefs, personal preferences and even our romantic attractions are routinely proven to be inconsistent and changeable. As the reader discovers, through mind-bending visual examples and counterintuitive experiments, we are all characters of our own creation, constantly improvising our behaviour based on our past experiences. And, as Chater shows us, recognising this can be liberating.

This book scrutinizes recent work in phonological theory from the perspective of Chomskyan generative linguistics and argues that progress in the field depends on taking seriously the idea that phonology is best studied as a mental computational system derived from an innate base, phonological Universal Grammar. Two simple problems of phonological analysis provide a frame for a variety of topics throughout the book. The competence-performance distinction and markedness theory are both addressed in some detail, especially with reference to phonological acquisition. Several aspects of Optimality Theory, including the use of Output-Output Correspondence, functionalist argumentation and dependence on typological justification are critiqued. The authors draw on their expertise in historical linguistics to argue that diachronic evidence is often mis-used to bolster phonological arguments, and they present a vision of the proper use of such evidence. Issues of general interest for cognitive scientists, such as whether categories are discrete and whether mental computation is probabilistic are also addressed. The book ends with concrete proposals to guide future phonological research.
The breadth and depth of the discussion, ranging from details of current analyses to the philosophical underpinnings of linguistic science, is presented in a direct style with as little recourse to technical language as possible.

Neuropsychiatric problems after critical illness are receiving increasing attention, particularly in the critical care medicine literature, but mental health and primary care clinicians should also be interested in these common problems, given the growing number of critical illness survivors who need care. Patients frequently come out of the intensive care unit (ICU) with horrifying distorted memories and don't understand what has happened to them. Not only are patients debilitated with ICU-acquired weakness and cognitive impairment, they are traumatized by actual experiences (e.g., shortness of breath and pain) and distorted memories (of being tortured, raped, assaulted, or imprisoned) shaped by delirium. Patients' family members are also frequently quite distressed, and children surviving critical illnesses appear to have similar experiences to adults. This book provides an overview of the nature and epidemiology of cognitive and other psychiatric problems in this growing population, and it addresses the small but growing literature on prevention and early intervention efforts. Addressing these problems successfully will require collaborative interventions, both in-ICU and post-ICU.

This is the first exhaustive investigation of gradience in syntax, conceived of as grammatical indeterminacy. It looks at gradience in English word classes, phrases, clauses and constructions, and examines how it may be defined and differentiated. Professor Aarts addresses the tension between linguistic concepts and the continuous phenomena they describe by testing and categorizing grammatical vagueness and indeterminacy. He considers to what extent gradience is a grammatical phenomenon or a by-product of imperfect linguistic description, and makes a series of linked proposals for its theoretical formalization.
Bas Aarts draws on, and reviews, work in psychology, philosophy and language from Aristotle to Chomsky., and writes clearly on a fascinating and important aspect of language and cognition. His book will appeal to scholars and graduate students of language and syntactic theory in departments of (English) linguistics, philosophy and cognitive science.

Brain and behaviour are intrinsically linked. Animals demonstrate a huge and complex repertoire of behaviours, so how can specific behaviours be mapped onto the complicated neural circuits of the brain? Highlighting the extraordinary advances that have been made in the field of behavioural neuroscience over recent decades, this book examines how behaviours can be understood in terms of their neural mechanisms. Each chapter outlines the components of a particular behaviour, discussing laboratory techniques, the key brain structures involved, and the underpinning cellular and molecular mechanisms. Commins covers a range of topics including learning in a simple invertebrate, fear conditioning, taste aversion, sound localization, and echolocation in bats, as well as more complex behaviours, such as language development, spatial navigation and circadian rhythms. Demonstrating key processes through clear, step-by-step explanations and numerous illustrations, this will be valuable reading for students of zoology, animal behaviour, psychology, and neuroscience.

4E cognition (embodied, embedded, enactive, and extended) is a relatively young and thriving field of interdisciplinary research. It assumes that cognition is shaped and structured by dynamic interactions between the brain, body, and both the physical and social environments. With essays from leading scholars and researchers, The Oxford Handbook of 4E Cognition investigates this recent paradigm. It addresses the central issues of embodied cognition by focusing on recent trends, such as Bayesian inference and predictive coding, and presenting new insights, such as the development of false belief understanding. The Oxford Handbook of 4E Cognition also introduces new theoretical paradigms for understanding emotion and conceptualizing the interactions between cognition, language, and culture. With an entire section dedicated to the application of 4E cognition in disciplines such as psychiatry and robotics, and critical notes aimed at stimulating discussion, this Oxford handbook is the definitive guide to 4E cognition. Aimed at neuroscientists, psychologists, psychiatrists, and philosophers, The Oxford Handbook of 4E Cognition will be essential reading for anyone with an interest in this young and thriving field.

An accessible introduction to the history, fundamental concepts, challenges, and controversies of the fMRI by one of the pioneers in the field. The discovery of functional MRI (fMRI) methodology in 1991 was a breakthrough in neuroscience research. This non-invasive, relatively high-speed, and high sensitivity method of mapping human brain activity enabled observation of subtle localized changes in blood flow associated with brain activity. Thousands of scientists around the world have not only embraced fMRI as a new and powerful method that complemented their ongoing studies but have also gone on to redirect their research around this revolutionary technique. This volume in the MIT Press Essential Knowledge series offers an accessible introduction to the history, fundamental concepts, challenges, and controversies of fMRI, written by one of the pioneers in the field. Peter Bandettini covers the essentials of fMRI, providing insight and perspective from his nearly three decades of research. He describes other brain imaging and assessment methods; the sources of fMRI contrasts; the basic methodology, from hardware to pulse sequences; brain activation experiment design strategies; and data and image processing. A unique, standalone chapter addresses major controversies in the field, outlining twenty-six challenges that have helped shape fMRI research. Finally, Bandettini lays out the four essential pillars of fMRI: technology, methodology, interpretation, and applications. The book can serve as a guide for the curious nonexpert and a reference for both veteran and novice fMRI scientists.

Hume? Yes, David Hume, that's who Jerry Fodor looks to for help in advancing our understanding of the mind. Fodor claims his Treatise of Human Nature as the foundational document of cognitive science: it launched the project of constructing an empirical psychology on the basis of a representational theory of mind. Going back to this work after more than 250 years we find that Hume is remarkably perceptive about the components and structure that a theory of mind requires. Careful study of the Treatise helps us to see what's amiss with much twentieth-century philosophy of mind, and to get on the right track. Hume says in the Treatise that his main project is to construct a theory of human nature and, in particular, a theory of the mind. Hume Variations examines his account of cognition and how it is grounded in his 'theory of ideas'. Fodor discusses such key topics as the distinction between 'simple' and 'complex' ideas, the thesis that an idea is some kind of picture, and the roles that 'association' and 'imagination' play in cognitive processes. He argues that the theory of ideas, as Hume develops it, is both historically and ideologically continuous with the representational theory of mind as it is now widely endorsed by cognitive scientists. This view of Hume is explicitly opposed to recent discussions by critics who hold that the theory of ideas is the Achilles heel of his philosophy and that he would surely have abandoned it if only he had read Wittgenstein carefully. You don't have to know much about Hume to enjoy this inventively argued, provocative, and stimulating defence of the representational theory of mind-which is looking increasingly hard to resist. LINES OF THOUGHT Philosophy books don't need to be hundreds of pages long to make a substantial contribution to the subject. This new series presents original works by leading philosophers at an affordable price and a readable length. Series Editors Peter Ludlow (University of Michigan, Ann Arbor) Scott Sturgeon (Birkbeck College, London)

A new field of collective intelligence has emerged in the last few years, prompted by a wave of digital technologies that make it possible for organizations and societies to think at large scale. This "bigger mind"--human and machine capabilities working together--has the potential to solve the great challenges of our time. So why do smart technologies not automatically lead to smart results? Gathering insights from diverse fields, including philosophy, computer science, and biology, Big Mind reveals how collective intelligence can guide corporations, governments, universities, and societies to make the most of human brains and digital technologies. Geoff Mulgan explores how collective intelligence has to be consciously organized and orchestrated in order to harness its powers. He looks at recent experiments mobilizing millions of people to solve problems, and at groundbreaking technology like Google Maps and Dove satellites. He also considers why organizations full of smart people and machines can make foolish mistakes--from investment banks losing billions to intelligence agencies misjudging geopolitical events--and shows how to avoid them. Highlighting differences between environments that stimulate intelligence and those that blunt it, Mulgan shows how human and machine intelligence could solve challenges in business, climate change, democracy, and public health. But for that to happen we'll need radically new professions, institutions, and ways of thinking. Informed by the latest work on data, web platforms, and artificial intelligence, Big Mind shows how collective intelligence could help us survive and thrive.

Philosophers since Aristotle have explored emotion, so the new emphasis on emotion in Anglo-American philosophy is the rediscovery of a discipline that is very old and has always been essential to the "love of wisdom." Today, it has become evident to most philosophers that emotions are ripe for philosophical analysis, a view supported by a considerable number of excellent publications. Emotions have now become mainstream. In this volume, I have tried to bring together some of the best Anglo-American philosophers now writing on the philosophy of emotion. I have solicited chapters from those philosophers who have already distinguished themselves in the field of emotion research and have interdisciplinary interests, particularly in the social sciences. It is impossible to study the emotions today without engaging with contemporary psychology and the neurosciences. Philosophy has always been (in its own mind, at least) "the queen of the sciences." Thus the essays included here should appeal to a broad spectrum of emotion researchers as well as philosophers interested or at least curious about their emotions. Topics include Emotions, Physiology, Intentionality, Emotion, Appraisal, and Cognition, Emotions and Feelings, Emotions, and Rationality, Emotions, Action, and Freedom, Emotion and Value, On Theories of Emotion. The contributors include Annette Baier, Aaron Ben-Zeev, Purushottama Bilimoria, Cheshire Calhoun, John Deigh, Ronald De Sousa, Jon Elster, Peter Goldie, Pat Greenspan, Paul Griffiths, Jerry Neu, Martha Nussbaum, Jesse Prinz, Jenefer Robinson, Amelie Rorty, Robert C. Solomon, Michael Stocker, ,