While cognitive informatics and natural intelligence are receiving greater attention by researchers, multidisciplinary approaches still struggle with fundamental problems involving psychology and neurobiological processes of the brain. Examining the difficulties of certain approaches using the tools already available is vital for propelling knowledge forward and making further strides. Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence is a collection of innovative research that examines the enhancement of human cognitive performance using emerging technologies. Featuring research on topics such as parallel computing, neuroscience, and signal processing, this book is ideally designed for engineers, computer scientists, programmers, academicians, researchers, and students.

Scientific knowledge is the most solid and robust kind of knowledge that humans have because of the self-correcting character inherent in its own processes. Nevertheless, anti-evolutionists, climate denialists, and anti-vaxxers, among others, question some of the best-established scientific findings, making claims that are unsupported by empirical evidence. A common aspect of these claims is the reference to the uncertainties in these areas of research, which leads to the conclusion that science is uncertain about evolution, climate change, and vaccination, among others. The truth of the matter is that while the broad picture is clear, there exist-and will always exist-uncertainties about the details of the respective phenomena. In this book Kampourakis and McCain show that uncertainty is an inherent feature of science that does not devalue it. In contrast, uncertainty actually makes science advance because it motivates further research. The first book of its kind, Uncertainty draws on philosophy of science to explain what uncertainty in science is and how it makes science advance. It contrasts evolution, climate change, and vaccination, where the uncertainties are exaggerated, to genetic testing and forensic science where the uncertainties are usually overlooked. Kampourakis and McCain discuss the scientific, psychological, and philosophical aspects of uncertainty in order to explain what it is really about, what kind of problems it actually poses, and why it ultimately makes science advance. Contrary to the public representations of scientific findings and conclusions that produce an intuitive but distorted view of science as certain, we need to understand and learn to live with uncertainty in science.

Developmental psychologists coined the term "theory of mind" to describe how we understand our shifting mental states in daily life. Over the past twenty years researchers have provided rich, provocative data showing that from an early age, children develop a sophisticated and consistent "theory of mind" by attributing their desires, beliefs, and emotions to themselves and to others. Remarkably, infants barely a few months old are able to attend closely to other humans; two-year-olds can articulate the desires and feelings of others and comfort those in distress; and three- and four-year-olds can talk about thoughts abstractly and engage in lies and trickery.
This book provides a deeper examination of how "theory of mind" develops. Building on his pioneering research in The Child's Theory of Mind (1990), Henry M. Wellman reports on all that we have learned in the past twenty years with chapters on evolution and the brain bases of theory of mind, and updated explanations of theory theory and later theoretical developments, including how children conceive of extraordinary minds such as those belonging to superheroes or supernatural beings. Engaging and accessibly written, Wellman's work will appeal especially to scholars and students working in psychology, philosophy, cultural studies, and social cognition.

Human beings are competitive. We want to know who is the strongest, who is the richest, and who is the cleverest of all. Some situations, like ranking people based on height, can be ranked in objective ways. However, many "Top Ten" lists are based on subjective categorization and give only the illusion of objectivity. In fact, we don't always want to be seen objectively since we don't mind having a better image or rank than deserved. Ranking: The Unwritten Rules of the Social Game We All Play applies scientific theories to everyday experience by raising and answering questions like: Are college ranking lists objective? How do we rank and rate countries based on their fragility, level of corruption, or even happiness? How do we find the most relevant web pages? How are employees ranked? This book is for people who have a neighbor with a fancier car; employees, who are being ranked by their supervisors; managers, who are involved in ranking but may have qualms about the process; businesspeople interested in creating better visibility for their companies; scientists, writers, artists, and other competitors who would like to see themselves at the top of a success list; or college students who are just preparing to enter a new phase of social competition. Readers will engage in an intellectual adventure to better understand the difficulties of navigating between objectivity and subjectivity and to better identify and modify their place in real and virtual communities by combining human and computational intelligence. Translation editions available in German, Korean, Japanese, Complex Chinese, and Simplified Chinese.

The term 'Implicit Learning' refers to the way in which knowledge of fairly complex, patterned material can be acquired without any conscious effort to learn it and with little to no awareness of what has been learned. Over the past fifty years, Implict Learning has became a vigorously researched area in the social sciences. In The Cognitive Unconscious, Arthur S. Reber and Rhianon Allen bring together several dozen experts from social science and neuroscience to present a broad overview of the exploration of the cognitive unconscious. Each chapter delves deeper into a subject that has become an interdisciplinary domain of research to which contributions have been made by sociologists, neuroscientists, evolutionary biologists, linguists, social and organizational psychologists, and sport psychologists, amongst many others. The book shows that unconscious, implicit cognitive processes play a role in virtually everything interesting that human beings do. As the contributors demonstrate, the implicit and explicit elements of cognition form a rich and complex interactive framework that make up who we are. With contributions from over thirty distinguished authors from nine different countries, The Cognitive Unconscious gives a balanced and thorough overview of where the field is today, over a half-century since the first experiments were run.

Neuroscience, the study of the structure and function of the brain, has captured our imaginations. Breakthrough technologies permit neuroscientists to probe how the human brain works in ever-more fascinating detail, revealing what happens when we think, move, love, hate, and fear. We know more than ever before about what goes wrong in the brain when we develop psychiatric and neurological illnesses like depression, dementia, epilepsy, panic attacks, and schizophrenia. We also now have clues about how treatments for those disorders change the way our brains look and function. Neuroscience at the Intersection of Mind and Brain has three main purposes. First, it makes complicated concepts and findings in modern neuroscience accessible to anyone with an interest in how the brain works. Second, it explains in detail how every experience we have from the moment we are conceived changes our brains. Third, it advances the idea that psychotherapy is a type of life experience that alters brain function and corrects aberrant brain connections. Among the topics covered are: what makes our brains different from those of other primates, our nearest genetic neighbors? How do life's experiences affect genetic expression of the brain and the way neurons connect with each other? Why are connections between different parts of the brain important in both health and disease? What happens in the brains of animals and humans when we are suddenly afraid of something, get depressed, or fall in love? How do medications and psychotherapies work? The information in this book is based on cutting-edge research in neuroscience, psychiatry, and psychology. Written by an author who studied human behavior and brain function for three decades, it is presented in a highly accessible manner, full of personal anecdotes and observations, and touches on many of the controversies in contemporary mental health practice.

Cogito, ergo sum. (""I think, therefore I am."") When Descartes quipped this, he erroneously split thinking from feeling. He assumed thoughts emerge from a substance other than feeling. This is a historic tragedy, and it is unnecessary. It brings us to a risky end-game. When we attempt to meld preconceived thought with evoked feelings, we come to the craft of ""spin doctors."" Instead, there is a natural path for connecting thinking and feeling. It involves emotional reflection at the time that understandings are created. This book draws attention to a form of dialogue which is called design dialogue. Design dialogue constructs new meaning from the bottom up. Individuals construct new meanings through individual thinking. In design dialogue, meaning results from group thinking. Group thinking is not as simple as thinking individually while being present within a group. The design process results in a series of co-constructed learning artifacts which, ultimately, constitute a new understanding. The process is concurrently emotional and cognitive, and melding emotion and cognition is achievable with effective design dialogue methods. The first chapter introduces emotion as the catalyst for considering questions, persisting in reflection, and concluding a cycle of thought. This chapter fills in gaps with the treatment of emotion and cognition. The second chapter lays out the sequence of observation-taking, sensemaking, meaning-making, and perspective-taking that are essential steps in thinking. Frameworks for thinking in educational traditions focus not so much on the neurological mechanics of the thought process but rather on the overall internalization of a ""way"" of understanding things. A third chapter presents a methodology for managing a design dialogue. Group facilitators generally invent and modify their own approaches for leading design projects. This chapter presents a codified approach that offers an advantage of supporting continuous improvement of complex design management methodology. And the final chapter considers the emergence of a sapient group-mind through the agency of design dialogue. This conjectured group-mind is considered in the context of the civic infrastructure that is needed to sustain the continual growth of the human superorganism structure. As humanity has moved from tribes, to cities, to institutions, and now to globally connected networks, each leap forward has been accompanied by profound changes in social practices and belief systems. Recent findings from the field of cognitive science have confirmed a suspicion that we have long held about each other. Individual thinking is biased and flawed. Inclusive and democratically managed discussion, deliberation and design all help to identify and dampen flawed understandings. The individual mind, an essential ingredient in the human spirit, is now, as a matter of practical necessity, bending to the wisdom of a well-informed group mind. The speed and strength of newly emerging social forces and evolving civic trends point to the conclusion that we are on the threshold for a new way of being. This book seeks to evoke reflection on how we can start communicating in a way that prepares us for life in that new future.

As we think and talk, rich arrays of mental spaces and connections between them are constructed unconsciously. Conceptual integration of mental spaces leads to new meaning, global insight, and compressions useful for memory and creativity. A powerful aspect of conceptual integration networks is the dynamic emergence of novel structure in all areas of human life (science, religion, art, ...). The emergence of complex metaphors creates our conceptualization of time. The same operations play a role in material culture generally. Technology evolves to produce cultural human artefacts such as watches, gauges, compasses, airplane cockpit displays, with structure specifically designed to match conceptual inputs and integrate with them into stable blended frames of perception and action that can be memorized, learned by new generations, and thus culturally transmitted.

How developments in science and technology may enable the emergence of purely digital minds-intelligent machines equal to or greater in power than the human brain. What do computers, cells, and brains have in common? Computers are electronic devices designed by humans; cells are biological entities crafted by evolution; brains are the containers and creators of our minds. But all are, in one way or another, information-processing devices. The power of the human brain is, so far, unequaled by any existing machine or known living being. Over eons of evolution, the brain has enabled us to develop tools and technology to make our lives easier. Our brains have even allowed us to develop computers that are almost as powerful as the human brain itself. In this book, Arlindo Oliveira describes how advances in science and technology could enable us to create digital minds. Exponential growth is a pattern built deep into the scheme of life, but technological change now promises to outstrip even evolutionary change. Oliveira describes technological and scientific advances that range from the discovery of laws that control the behavior of the electromagnetic fields to the development of computers. He calls natural selection the ultimate algorithm, discusses genetics and the evolution of the central nervous system, and describes the role that computer imaging has played in understanding and modeling the brain. Having considered the behavior of the unique system that creates a mind, he turns to an unavoidable question: Is the human brain the only system that can host a mind? If digital minds come into existence-and, Oliveira says, it is difficult to argue that they will not-what are the social, legal, and ethical implications? Will digital minds be our partners, or our rivals?

How to assess critical aspects of cognitive functioning that are not measured by IQ tests: rational thinking skills. Why are we surprised when smart people act foolishly? Smart people do foolish things all the time. Misjudgments and bad decisions by highly educated bankers and money managers, for example, brought us the financial crisis of 2008. Smart people do foolish things because intelligence is not the same as the capacity for rational thinking. The Rationality Quotient explains that these two traits, often (and incorrectly) thought of as one, refer to different cognitive functions. The standard IQ test, the authors argue, doesn't measure any of the broad components of rationality-adaptive responding, good judgment, and good decision making. The authors show that rational thinking, like intelligence, is a measurable cognitive competence. Drawing on theoretical work and empirical research from the last two decades, they present the first prototype for an assessment of rational thinking analogous to the IQ test: the CART (Comprehensive Assessment of Rational Thinking). The authors describe the theoretical underpinnings of the CART, distinguishing the algorithmic mind from the reflective mind. They discuss the logic of the tasks used to measure cognitive biases, and they develop a unique typology of thinking errors. The Rationality Quotient explains the components of rational thought assessed by the CART, including probabilistic and scientific reasoning; the avoidance of "miserly" information processing; and the knowledge structures needed for rational thinking. Finally, the authors discuss studies of the CART and the social and practical implications of such a test. An appendix offers sample items from the test.

This book presents interdisciplinary research on cognition, mind and behavior from an information processing perspective. It includes chapters on Artificial Intelligence, Decision Support Systems, Machine Learning, Data Mining and Support Vector Machines, chiefly with regard to the data obtained and analyzed in Medical Informatics, Bioinformatics and related disciplines. The book reflects the state-of-the-art in Artificial Intelligence and Cognitive Science, and covers theory, algorithms, numerical simulation, error and uncertainty analysis, as well novel applications of new processing techniques in Biomedical Informatics, Computer Science and its applied areas. As such, it offers a valuable resource for students and researchers from the fields of Computer Science and Engineering in Medicine and Biology.

Luciano Floridi presents an innovative approach to philosophy, conceived as conceptual design. He explores how we make, transform, refine, and improve the objects of our knowledge. His starting point is that reality provides the data, to be understood as constraining affordances, and we transform them into information, like semantic engines. Such transformation or repurposing is not equivalent to portraying, or picturing, or photographing, or photocopying anything. It is more like cooking: the dish does not represent the ingredients, it uses them to make something else out of them, yet the reality of the dish and its properties hugely depend on the reality and the properties of the ingredients. Models are not representations understood as pictures, but interpretations understood as data elaborations, of systems. Thus, Luciano Floridi articulates and defends the thesis that knowledge is design and philosophy is the ultimate form of conceptual design. Although entirely independent of Floridi's previous books, The Philosophy of Information (OUP 2011) and The Ethics of Information (OUP 2013), The Logic of Information both complements the existing volumes and presents new work on the foundations of the philosophy of information.

In Metaphors of Eucharistic Presence: Language, Cognition, and the Body and Blood of Christ, Stephen R. Shaver brings together the fields of cognitive linguistics and liturgical theology to propose a new approach to the ecumenically controversial issue of eucharistic presence. Drawing from the work of cognitive linguists such as George Lakoff, Gilles Fauconnier, and Mark Turner, and theologians such as Robert Masson and John Sanders, Shaver argues that there is no clear division between literal and figurative language: rather, human cognition is grounded in sensorimotor experience, and phenomena such as metaphor and conceptual blending are basic building blocks of thought. Complex realities are ordinarily understood by means of more than one metaphor. Inherited models of eucharistic presence, then, are not necessarily mutually exclusive but can serve as complementary members of a shared ecumenical repertoire. The central element of this repertoire is the motif of identity-the eucharistic bread and wine are the body and blood of Christ-grounded in the Synoptic and Pauline institution narratives. From a cognitive standpoint, this metaphor can be understood both as figurative and as true in the proper sense, resolving a dichotomy that has divided the churches since the Reformation. The identity motif is complemented by four major non-scriptural motifs: representation, change, containment, and conduit. Inaugurating a new interdisciplinary conversation, this book contributes to ongoing ecumenical reconciliation not only by addressing eucharistic presence but also by demonstrating an approach which may hold promise in other historically controverted areas. Meanwhile for cognitive linguists it offers an intriguing case study in the application of that discipline to theological questions.

In The Sequential Imperative William Edmondson explains how deep study of linguistics - from phonetics to pragmatics - can be the basis for understanding the organization of behaviour in any organism with a brain. The work demonstrates that Cognitive Science needs to be anchored in a linguistic setting. Only then can Cognitive Scientists reach out to reconsider the nature of consciousness and to appreciate the functionality of all brains. The core functionality of the brain - any brain, any species, any time - is delivery and management of the unavoidable bi-directional transformation between brain states and activity - the Sequential Imperative. Making it all work requires some general cognitive principles and close attention to detail. The book sets out the case in broad terms but also incorporates significant detail where necessary.

Our world and bodies are becoming increasingly polluted with chemicals capable of interfering with our hormones and thus, possibly, our present and future neural and mental health. As authors Heather Patisaul and Scott Belcher outline, there is a large lack of data and evidence in this causal relationship, which begs a need for further study to accelerate progress in the endocrinology and neuroendocrinology fields. Endocrine Disruptors, Brain, and Behavior focuses on if and how these chemicals, known as endocrine disrupting compounds (EDCs), affect the development and function of the brain and might be contributing to neural disorders rapidly rising in prevalence. The book provides an overall synthesis of the EDC field, including its historical roots, major hypotheses, key findings, and research gaps. The authors explain why even the concept of endocrine disruption is controversial in some circles, how differing definitions of endocrine disruption and what constitutes an "adverse" outcome on the brain shape public policy, and where the current capacity by different stakeholders (industry, academia, regulatory agencies) to evaluate chemicals for safety in a regulatory context begins and ends. The book concludes with suggestions for future research needs and a summary of emerging technology which might prove capable of more effectively evaluating existing and emerging chemicals for endocrine disrupting properties. As such, it provides the context for interdisciplinary and innovative input from a broad spectrum of fields, including those well-schooled in neuroscience, evolutionary biology, brain, behavior, sex differences, and neuroendocrinology.

Phenomenology of Perception: Theories and Experimental Evidence reconstructs and reviews the phenomenological research of the Brentano School, Edgar Rubin, David Katz, Albert Michotte and Gestalt psychology. Phenomenology is commonly considered a philosophy of subjective experience, but this book presents it instead as a set of commitments for philosophy and science to discover the immanent grammar underlying the objective meaning of perception. Pioneering experimental results on the qualitative and quantitative structures of the perceptual world are collected to show that, contrary to the received assumption, phenomenology can be embedded in standard science. This book will therefore be of interest not only to phenomenologists but also to anyone concerned with epistemological and empirical issues in contemporary psychology and the cognitive sciences.

Of all the topics ever studied, surely one of the most compelling is human learning itself. What is the nature of the human mind? How do we understand and process new information? Where do new ideas come from? How is our very intelligence a product of society and culture? Computers, Cockroaches, and Ecosystems: Understanding Learning through Metaphor brings to light the great discoveries about human learning by illuminating key metaphors underlying the major learning perspectives. Such metaphors include, among others, the mind as computer, the mind as ecosystem, and the mind as cultural tools. These metaphors reveal the essence of different learning perspectives in a way that is accessible and engaging for teachers and students. Each metaphor is brought to life through stories ranging from the humorous to the profound. The book conveys scholarly ideas in a personal manner and will be a delight for teachers, university students, parents, business or military trainers, or anyone with an interest in learning.

Consciousness is a phenomenon that puzzled many thinkers of the past in disparate fields, including theology, literature, art and philosophy, and continues to be a hot topic of debate at present. However, in the last few decades, the change of paradigm brought by cognitive psychology and the emergence of new techniques, which allowed the in vivo study of the human brain, have made the investigation of consciousness a respectable field of scientific research. This book discusses social perspectives of consciousness, as well as provides current research on psychological approaches.

Cziko shows how the lessons of Bernard and Darwin, updated with the best of current scientific knowledge, can provide solutions to certain long-standing theoretical and practical problems in behavioral science and enable us to develop new methods and topics for research. The remarkable achievements that modern science has made in physics, chemistry, biology, medicine, and engineering contrast sharply with our limited knowledge of the human mind and behavior. A major reason for this slow progress, claims Gary Cziko, is that with few exceptions, behavioral and cognitive scientists continue to apply a Newtonian-inspired view of animate behavior as an organism's output determined by environmental input. This one-way cause-effect approach ignores the important findings of two major nineteenth-century biologists, French physiologist Claude Bernard and English naturalist Charles Darwin. Approaching living organisms as purposeful systems that behave in order to control their perceptions of the external environment provides a new perspective for understanding what, why, and how living things, including humans, do what they do. Cziko examines in particular perceptual control theory, which has its roots in Bernard's work on the self-regulating nature of living organisms and in the work of engineers who developed the field of cybernetics during and after World War II. He also shows how our evolutionary past together with Darwinian processes currently occurring within our bodies, such as the evolution of new brain connections, provide insights into the immediate and ultimate causes of behavior. Writing in an accessible style, Cziko shows how the lessons of Bernard and Darwin, updated with the best of current scientific knowledge, can provide solutions to certain long-standing theoretical and practical problems in behavioral science and enable us to develop new methods and topics for research.

Despite American education's recent mania for standardized tests, testing misses what really matters about learning: the desire to learn in the first place. Curiosity is vital, but it remains a surprisingly understudied characteristic. The Hungry Mind is a deeply researched, highly readable exploration of what curiosity is, how it can be measured, how it develops in childhood, and how it can be fostered in school. "Engel draws on the latest social science research and incidents from her own life to understand why curiosity is nearly universal in babies, pervasive in early childhood, and less evident in school...Engel's most important finding is that most classroom environments discourage curiosity...In an era that prizes quantifiable results, a pedagogy that privileges curiosity is not likely to be a priority." -Glenn C. Altschuler, Psychology Today "Susan Engel's The Hungry Mind, a book which engages in depth with how our interest and desire to explore the world evolves, makes a valuable contribution not only to the body of academic literature on the developmental and educational psychology of children, but also to our knowledge on why and how we learn." -Inez von Weitershausen, LSE Review of Books

A philosophical refashioning of the Language of Thought approach and the related computational theory of mind. The language of thought (LOT) approach to the nature of mind has been highly influential in cognitive science and the philosophy of mind; and yet, as Susan Schneider argues, its philosophical foundations are weak. In this philosophical refashioning of LOT and the related computational theory of mind (CTM), Schneider offers a different framework than has been developed by LOT and CTM's main architect, Jerry Fodor: one that seeks integration with neuroscience, repudiates Fodor's pessimism about the capacity of cognitive science to explain cognition, embraces pragmatism, and advances a different approach to the nature of concepts, mental symbols, and modes of presentation. According to the LOT approach, conceptual thought is determined by the manipulation of mental symbols according to algorithms. Schneider tackles three key problems that have plagued the LOT approach for decades: the computational nature of the central system (the system responsible for higher cognitive function); the nature of symbols; and Frege cases. To address these problems,] Schneider develops a computational theory that is based on the Global Workspace approach; develops a theory of symbols, "the algorithmic view"; and brings her theory of symbols to bear on LOT's account of the causation of thought and behavior. In the course of solving these problems, Schneider shows that LOT must make peace with both computationalism and pragmatism; indeed, the new conception of symbols renders LOT a pragmatist theory. And LOT must turn its focus to cognitive and computational neuroscience for its naturalism to succeed.