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This volume constitutes the proceedings of the 28th International Conference on Collaboration Technologies and Social Computing, CollabTech 2022, held in Santiago, Chile during November 8–11, 2022. The 18 full and 4 work-in-process papers presented in this volume were selected from 37 submissions and underwent careful double-blind peer review. The papers focus on innovative technical, human and organizational approaches to expand collaboration support including computer science, management science, design science, cognitive and social science.

Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional statistical approaches have deep rooted limitations. These approaches are excellent on paper but often fail to model the real world. Mind researchers have been trying to overcome this by simplifying the models being studied. This stance has not received much practical attention recently. Promoting and improving artificial intelligence helps mind researchers to find a holistic model of mental models. This development achieves this goal by using multiple perspectives and multiple data sets together with interactive, and realistic models. In this book, the methodology of approximate inference in psychological research from a theoretical and practical perspective has been considered. Quantitative variable-oriented methodology and qualitative case-oriented methods are both used to explainthe set-oriented methodology and this book combines the precision of quantitative methods with information from qualitative methods. This is a book that many researchers can use to expand and deepen their psychological research and is a book which can be useful to postgraduate students. The reader does not need an in-depth knowledge of mathematics or statistics because statistical and mathematical intuitions are key here and they will be learned through practice. What is important is to understand and use the new application of the methods for finding new, dynamic and realistic interpretations. This book incorporates theoretical fuzzy inference and deep machine learning algorithms in practice. This is the kind of book that we wished we had had when we were students. This book covers at least some of the most important issues in mind research including uncertainty, fuzziness, continuity, complexity and high dimensionality which are inherent to mind data. These are elements of artificialpsychology. This book implements models using R software.

The definitive introduction to Bayesian cognitive science, written by pioneers of the field.How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesian models of cognition provide a powerful framework for answering these questions by reverse-engineering the mind. This textbook offers an authoritative introduction to Bayesian cognitive science and a unifying theoretical perspective on how the mind works. Part I provides an introduction to the key mathematical ideas and illustrations with examples from the psychological literature, including detailed derivations of specific models and references that can be used to learn more about the underlying principles. Part II details more advanced topics and their applications before engaging with critiques of the reverse-engineering approach. Written by experts at the forefront of new research, this comprehensive text brings the fields of cognitive science and artificial intelligence back together and establishes a firmly grounded mathematical and computational foundation for the understanding of human intelligence. The only textbook comprehensively introducing the Bayesian approach to cognitionWritten by pioneers in the fieldOffers cutting-edge coverage of Bayesian cognitive science's research frontiers Suitable for advanced undergraduate and graduate students and researchers across the sciences with an interest in the mind, brain, and intelligence Features short tutorials and case studies of specific Bayesian models

The volume focusses on the ethical dimensions of the technological scaffold embedding human thought and action, which has been brought to attention of the cognitive sciences by situated cognition theories. There is a broad spectrum of technologies co-realising or enabling and enhancing human cognition and action, which vary in the degree of bodily integration, interactivity, adaptation processes, of reliance and indispensability etc. This technological scaffold of human cognition and action evolves rapidly. Some changes are continuous, some are eruptive. Technologies that use machine learning e.g. could represent a qualitative leap in the technological scaffolding of human cognition and actions. The ethical consequences of applying situated cognition theories to practical cases had yet to find adequate attention and are elucidated in this volume.

This book extends the contemporary concept of the minimal self by introducing the affective core self. The overall aim is to integrate certain psychoanalytical ideas into the phenomenological investigation of passivity and reformulate the idea of the phenomenological unconscious. This volume contributes to the multidimensional analysis of the self by positioning the affective core self between the layers of the more minimal and the less minimal self. It underscores the importance of the unconscious in the constitution of the affective core self by providing the comparative analysis of the phenomenological and the psychoanalytical unconscious.Furthermore, comparisons are drawn between Freud's conception of the afterwardsness of trauma and the phenomenological notion of retroactive sense-constitution. The book concludes that retroactive sense-making is a double-sided phenomenon and differentiates between implicit-bodily and conscious-narrative retroactive sense-constitution. In order to bolster the idea of implicit-bodily sense-constitution the volume also examines and utilizes contemporary insights on the nature of body memory. The conclusion claims that the affective core self is constituted in time by means of the underlying processes of the two-sided retroactive sense-constitution. This text appeals to students and researchers working in phenomenology and philosophy of mind.

Neuroscience has largely abandoned its localizationist and mechanistic framework of the 20th century. The plastic, embodied, and network character of our nervous system is widely acknowledged and systems theory approaches to consciousness dominate the field. However, the underlying neuron theory has not changed. The neuron doctrine, conceptualizing the single neuron as atomistic, one-directional source of neural function, still provides the template for our understanding of these basic elements of our nervous system and the material foundation of consciousness. Yet, the single neuron does not exist as an isolated unit. It is embedded within multiple cellular, structural, and functional contexts, and highly depends on them for its development, neural activity, and survival. The book discusses the constraints of the neuron doctrine and its pragmatic reductionism in the light of the growing knowledge about the brain's connectivity, plasticity, and systemic and embodied nature.To overcome these constraints, the author argues for a new neuron theory, depicting the neuron as bidirectional hub which is at the same time source and product of neural function. This bidirectionality is further characterized by spatial and time dimensions, placing the neuron within a multi-level pathway model of psychobiological development from the perspective of Developmental Embodiment Research. Furthermore, the author discusses the potential of neuroepigenetic markers to characterize the neuron and its range of plasticity within this developmental perspective.With its focus on neuroepigenetics, the book addresses a knowledge gap in the current study of the neural foundations of psychological functions. The multi-level and bidirectional perspective is already realized in approaches coming from developmental systems theory, which model neural function at the connectome level, and it also fits with approaches investigating feedback loops underlying neural activity at the single cell level. At both these levels, the spatial and the time dimensions are well characterized, either as changing connectivity patterns across different age groups, or as synaptic feedback loops underlying neural activation patterns. However, for the intermediate level of small neural populations, which is currently the main target for studies investigating the neural basis of specific psychological functions, this characterization turned out to be more challenging. Multi-cell recordings have provided a first glimpse into the complex interaction patterns of these small neural networks, but they are limited to the recording period and do not provide information about the long-term developmental and activation history. Here, neuroepigenetic markers could be of use. Due to their relative stability and, at the same time, environmental sensitivity, neuroepigenetic markers represent an additional layer of information in which, to a certain degree, the cell's metabolic and activation history is aggregated over time. This information is available at the single neuron level but could also be modeled as aggregated information for small neural populations and the supporting cellular context. Looking through this “epigenetic lens” adds to our understanding of the neuron as bidirectional hub by emphasizing the molecular correlates of functional stabilization and their contextual prerequisites. These prerequisites reach from the immediate cellular context to the social-cultural contexts which shape the culturally specific modes of acquisition of psychological functions throughout the lifespan. Accounting for this multilayered contextuality of the neuron and its function affords to repositions the relationship between neuroscience and psychology in their joint effort to unravel the material basis of consciousness. This provides new challenges but also new perspectives for theoretical psychology. The book presents these current developments and debates to researchers, gradua

This book brings together perspectives on predictive processing and expected experience. It features contributions from an interdisciplinary group of authors specializing in philosophy, psychology, cognitive science, and neuroscience.Predictive processing, or predictive coding, is the theory that the brain constantly minimizes the error of its predictions based on the sensory input it receives from the world. This process of prediction error minimization has numerous implications for different forms of conscious and perceptual experience. The chapters in this volume explore these implications and various phenomena related to them. The contributors tackle issues related to precision estimation, sensory prediction, probabilistic perception, and attention, as well as the role predictive processing plays in emotion, action, psychotic experience, anosognosia, and gut complex.Expected Experiences will be of interest to scholars and advanced students in philosophy, psychology, and cognitive science working on issues related to predictive processing and coding.

This book—Mind, Body, and Digital Brains—focuses on both theoretical and empirical issues and joins contributions from different disciplines, concepts, and sensibilities, bringing together scholars from fields that at first glance may appear different—Neuroscience and Cognitive Neuroscience; Robotics, Computer Science, Deep Learning, and Information Processing Systems; Education, Philosophy, Law, and Psychology. All these research fields are held together by the very object to be discussed: a broad, articulate, and polyphonic reflection on the status of theories and fields of application of Digital Technologies and Artificial Intelligence, seen from the perspective of the digital mind, digital body, and digital brain. Scientific and humanistic issues will be considered through an interdisciplinary point of view, with the purpose of deepening emerging trends about various disciplines. This book offers a framework for different perspectives and, at the same time, a platform for discussion aimed not only at experts, but also at a non-specialist public interested in the digital revolution. The digital revolution is emerging from the intertwining of ethical, philosophical, and technological aspects, which concern several general issues as cooperation, law, and environment, but also specialized as cybersecurity or algorithmic citizenship. More questions arise, concerning which opportunities and risks are associated with the new scenarios, what idea of humanity is emerging from the increasingly widespread use of Artificial Intelligence technologies, and what idea of integrated science should we promote to accompany the ongoing transformations.

AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learning, expertise and the businesses built off of it. Based on the latest research on AI and how it is changing learning and education, this book will focus on the enormous opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. This open access book also introduces ethical challenges related to learning and education, while connecting human learning and machine learning. This book will be of use to a variety of readers, including researchers, AI users, companies and policy makers.

This book treats eighteenth-century Italian philosopher Giambattista Vico's theory of poetic logic for the first time as the originating force in mathematics, transforming instinctive counting and spatial perception into poetic (metaphorical) symbolism that dovetails with the origin of language. It looks at current work on mathematical cognition (from Lakoff and Núñez to Butterworth, Dehaene, and beyond), matching it against the poetic logic paradigm. In a sense, it continues from where Kasner and Newman left off, connecting contemporary research on the mathematical mind to the idea that the products of early mathematics were virtually identical to the first forms of poetic language. As such, this book informs the current research on mathematical cognition from a different angle, by looking back at a still relatively unknown philosopher within mathematics.The aim of this volume is to look broadly at what constitutes the mathematical mind through the Vichian lens of poetic logic. Vico was among the first to suggest that the essential nature of mind could be unraveled indirectly by reconstructing the sources of its “modifications” (his term for “creations”); that is, by examining the creation and function of symbols, words, and all the other uniquely human artifacts—including mathematics—the mind has allowed humans to establish “the world of civil society,” Vico's term for culture and civilization.The book is of interest to cognitive scientists working on math cognition. It presents the theory of poetic logic as Vico articulated it in his book The New Science, examining its main premises and then applying it to an interpretation of the ongoing work in math cognition. It will also be of interest to the general public, since it presents a history of early mathematics through the lens of an idea that has borne fruit in understanding the origin of language and symbols more broadly.

This Handbook offers the first comprehensive reference guide to the interdisciplinary field of abductive cognition, providing readers with extensive information on the process of reasoning to hypotheses in humans, animals, and in computational machines. It highlights the role of abduction in both theory practice: in generating and testing hypotheses and explanatory functions for various purposes and as an educational device. It merges logical, cognitive, epistemological and philosophical perspectives with more practical needs relating to the application of abduction across various disciplines and practices, such as in diagnosis, creative reasoning, scientific discovery, diagrammatic and ignorance-based cognition, and adversarial strategies. It also discusses the inferential role of models in hypothetical reasoning, abduction and creativity, including the process of development, implementation and manipulation for different scientific and technological purposes. Written by a group ofinternationally renowned experts in philosophy, logic, general epistemology, mathematics, cognitive, and computer science, as well as life sciences, engineering, architecture, and economics, the Handbook of Abductive Cognition offers a unique reference guide for readers approaching the process of reasoning to hypotheses from different perspectives and for various theoretical and practical purposes. Numerous diagrams, schemes and other visual representations are included to promote a better understanding of the relevant concepts and to make concepts highly accessible to an audience of scholars and students with different scientific backgrounds.

This book explores the cognitive plausibility of computational language models and why it's an important factor in their development and evaluation. The authors present the idea that more can be learned about cognitive plausibility of computational language models by linking signals of cognitive processing load in humans to interpretability methods that allow for exploration of the hidden mechanisms of neural models. The book identifies limitations when applying the existing methodology for representational analyses to contextualized settings and critiques the current emphasis on form over more grounded approaches to modeling language. The authors discuss how novel techniques for transfer and curriculum learning could lead to cognitively more plausible generalization capabilities in models. The book also highlights the importance of instance-level evaluation and includes thorough discussion of the ethical considerations that may arise throughout the various stages of cognitive plausibility research.

The book is a true knowledge-enhancing project, dealing with the forms of rationality at work in social life, which are so many, varied and complex. Published already in Spanish and Italian, it analyses the role played by rationality through the lens of social theories in order to propose a problematic interpretation of human action. Since there is nothing more practical than a good theory when seeking to understand our society, the book reflects on the theoretical approaches that provide useful categories by means of which to understand and interpret individual, organizational, and institutional action. It proposes an analysis of a wide variety of classics by eminent European and Anglo-American thinkers, such as Dahrendorf, Mannheim, Marx, Popper, Weber, Habermas, Luhmann, Machiavelli, Pareto, Ardigò, Cesareo, Parsons, Schütz, Alexander, Bauman, Beck, Sennett, Antiseri, Boudon, Sen, Simon, to shed light on the relationship between rationality, difficulties in thinking and extra-rationality. Finally, the reasons for unexpected action are investigated as well as the strategic role played by ethics, rationality and skills in postmodern societies on the basis of the contributions of Nussbaum and Piketty.

Angst begleitet uns überallhin und jederzeit. Sie gehört zum Menschen. Der Mensch ist ein Angstwesen, und dies prägt sein Verhältnis zur Welt, zu anderen und zu sich selbst. Um die Bedeutung der verschiedenen Ängstigungsweisen zu erläutern, wird eine Unterscheidung von drei Grundfunktionen, affektive Furcht, gefühlte Ängste und geistige Angst, vorgeschlagen. Sie stellen jeweils spezifische Ausprägungen der überlebenswichtigen Gefahrenbewältigung dar, die beim Menschen nicht nur die körperliche Schutzfunktion umfasst, sondern auch durch gedankliche Antizipation möglicher Risiken und Bedrohungen geprägt ist. Aber vor allem die Angstgefühle können aus dem Gleichgewicht geraten, als leidvoll erlebt werden und sogar pathologisch werden. Deshalb soll am Ende auch die Hoffnung formuliert werden, dass Menschen die geistige Kraft besitzen, ihre Ängste sinnvoll in ihr Leben einzuordnen. Für eine differenzierte Sicht auf die Thematik werden zum einen einschlägige Theorien von Biologie über Psychologie bis Soziologie und Philosophie herangezogen, zum anderen die gewonnenen Ergebnisse mit Blick auf gesellschaftliche, politische und ideologisch-weltanschauliche Anwendungsbereiche vertieft.

A brilliant new theory of the mind that upends our understanding of how the brain interacts with the world“This thoroughly readable book will convince you that the brain and the world are partners in constructing our understanding.” —Sean Carroll, New York Times bestselling author of The Biggest Ideas in the Universe: Space, Time, and MotionFor as long as we've studied human cognition, we've believed that our senses give us direct access to the world. What we see is what's really there—or so the thinking goes. But new discoveries in neuroscience and psychology have turned this assumption on its head. What if rather than perceiving reality passively, your mind actively predicts it?Widely acclaimed philosopher and cognitive scientist Andy Clark unpacks this provocative new theory that the brain is a powerful, dynamic prediction engine, mediating our experience of both body and world. From the most mundane experiences to the most sublime, reality as we know it is the complex synthesis of sensory information and expectation. Exploring its fascinating mechanics and remarkable implications for our lives, mental health, and society, Clark nimbly illustrates how the predictive brain sculpts all human experience. Chronic pain and mental illness are shown to involve subtle malfunctions of our unconscious predictions, pointing the way towards more effective, targeted treatments. Under renewed scrutiny, the very boundary between ourselves and the outside world dissolves, showing that we are as entangled with our environments as we are with our onboard memories, thoughts, and feelings. And perception itself is revealed to be something of a controlled hallucination.Unveiling the extraordinary explanatory power of the predictive brain, The Experience Machine is a mesmerizing window onto one of the most significant developments in our understanding of the mind.

researchED is an educator-led organisation with the goal of bridging the gap between research and practice. This accessible and punchy series, overseen by founder Tom Bennett, tackles the most important topics in education, with a range of experienced contributors exploring the latest evidence and research and how it can apply in a variety of classroom settings. In this edition, Kate Jones considers various principles from cognitive science that can be used to enhance teaching and learning, including cognitive load theory, dual coding theory, interleaving, retrieval practice and spaced practice. Kate has sourced contributions from teachers and researchers including Jade Pearce, Sarah Cottingham, Adam Boxer, Jonathan Firth, Paul A. Kirschner, Pedro De Bruyckere and Lekha Sharma. Kate Jones is a teacher and an experienced leader. She is the author of seven books and is senior associate for teaching and learning at Evidence Based Education.

Restoring the Human Context to Literary and Performance Studies argues that much of contemporary literary theory is still predicated, at least implicitly, on outdated linguistic and psychological models such as post-structuralism, psychoanalysis, and behaviorism, which significantly contradict current dominant scientific views. By contrast, this monograph promotes an alternative paradigm for literary studies, namely Contextualism, and in so doing highlights the similarities and differences among the sometimes-conflicting contemporary cognitive approaches to literature and performance, arguing not in favor of one over the other but for Contextualism as their common ground.

Im Kern dieser Arbeit geht es um das Begreifen von Kognition. Der Kognitionsbegriff wird zur Schlüsselkategorie in den basalen Gedanken- bzw. Modellgebäuden und den daraus entwickelten Algorithmen. Es ist eine Arbeit, die unter anderem die philosophischen Positionen des Reduktionismus, Funktionalismus und Konstruktivismus mit einer kognitiven Theorie so in Verbindung bringt, um diese erkenntnistheoretischen Ismen mit den Erkenntnissen einer technologisierten Kognitionswissenschaft zu synchronisieren und als algorithmisierte Theorie im Rahmen eines Entwicklungsprojekt als artifizielle Kognition zu realisieren. Die Arbeit ist somit theoretisch fundiert und praktisch orientiert.

This book illustrates the design, development, and evaluation of personalized intelligent tutoring systems that emulate human cognitive intelligence by incorporating artificial intelligence. Artificial intelligence is an advanced field of research. It is particularly used in the field of education to increase the effectiveness of teaching and learning techniques. With the advancement of internet technology, there is a rapid growth in web based distance learning modality. This mode of learning is better known as the e-learning system. These systems present low intelligence because they offer a pre-identified learning frame to their learners. The advantage of these systems is to offer to learn anytime and anyplace without putting emphasis on a learner's needs, competency level, and previous knowledge. Every learner has different grasping levels, previous knowledge, and preferred mode of learning, and hence, the learning process of one individual may significantly vary from other individuals. This book provides a complete reference for students, researchers, and industry practitioners interested in keeping abreast of recent advancements in this field. It encompasses cognitive intelligence and artificial intelligence which are very important for deriving a roadmap for future research on intelligent systems.

What goes on in creative writers'heads when they write? What can cognitive psychology, neuroscience, literary studies and previous research in creative writing studies tell creative writers about the processes of their writing mind? Creative writers have for centuries undertaken cognitive research. Some described cognition in vivid exegetical essays, but most investigated the mind in creative writing itself, in descriptions of the thinking of characters in fiction, poetry and plays. The inner voicings and inner visualising revealed in Greek choruses, in soliloquies, in stream-of-consciousness narratives are creative writers'‘research results'from studying their own cognition, and the thinking of others. The Creative Writer's Mind is a book for creative writers: it sets out to cross the gap between creative writing and science, between the creative arts and cognitive research.

The book is the first formulation of a meta-philosophical scheme rooted in the embodied cognition paradigm. The latter views subjects capable of cognition and experience as living, embodied creatures coupled with their environments. On the other hand, the emergence of experimental philosophy has given rise to a new context in which philosophers have begun to search for a more thorough definition of philosophical competence. The time is ripe for these two trends to join their efforts. Therefore, the book discusses what it means for a human being thought of as a living subject to pursue philosophy. In this context, in contrast to the existing literature, philosophical competence must not be conflated with competence in philosophy. The former is a skill or attitude. The book refers to this peculiar attitude as the recognition of one's epistemic position.

This book addresses the issue of cognitive semantics'aspects that cannot be represented by traditional digital and logical means. The problem of creating cognitive semantics can be resolved in an indirect way. The electromagnetic waves, quantum fields, beam of light, chaos control, relativistic theory, cosmic string recognition, category theory, group theory, and so on can be used for this aim. Since the term artificial intelligence (AI) appeared, various versions of logic have been created; many heuristics for neural networks deep learning have been made; new nature-like algorithms have been suggested. At the same time, the initial digital, logical, and neural network principles of representation of knowledge in AI systems have not changed a lot. The researches of these aspects of cognitive semantics of AI are based on the author's convergent methodology, which provides the necessary conditions for purposeful and sustainable convergence of decision-making.

This book demonstrates for the first time how the work of Ludwig Wittgenstein can transform 4E Cognitive Science. In particular, it shows how insights from Wittgenstein can empower those within 4E to reject the long held view that our minds must involve representations inside our heads. The book begins by showing how proponents of 4E are divided amongst themselves. Proponents of Extended Mind insist that internal representations are always needed to explain the human mind. However, proponents of Enacted Mind reject this claim. Using insights from Ludwig Wittgenstein, the book introduces and defends a new theoretical framework called Structural Enacted or Extended Mind (STEEM). STEEM brings together Enacted Mind and Extended Mind in a way that rejects all talk of internal representations. STEEM thus highlights the anti-representationalist credentials of 4E and so demonstrates how 4E can herald a new beginning when it comes to thinking about the mind.

An expert on mind considers how animals and smart machines measure up to human intelligence.Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts, Paul Thagard looks at how computers ('bots') and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans. Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines--including Watson, AlphaZero, virtual assistants, and self-driving cars--and the most intelligent animals--including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities.

This edited volume investigates the impact of information technology through the lens of human cognitive capacity and the ways in which it influences how we think, feel, and behave. Our endless use of smartphones, unbridled internet access, and the ubiquity of applications on these platforms touches many facets of our lives. The book offers a general framework that articulates how basic attentional and cognitive processes are impacted by information technology, and how more complex aspects of human experience are affected as a result. Setting aside issues of goodness or harmfulness of the internet and related technologies, each chapter considers a different aspect of the ways in which humans, with limited information processing capabilities, interact with an almost infinite informational environment. The authors examine what makes these technologies so addictive; their effect on emotional well‑being, memory, and learning; and their impact on our ability to engage in important daily activities, like driving a car. Other contributors discuss the replenishment of depleted cognitive reserves, and offer recommendations to help us chart a way forward in today's attention economy.

The use of cognitive science in creating stories, languages, visuals, and characters is known as narrative generation, and it has become a trending area of study. Applying artificial intelligence (AI) techniques to story development has caught the attention of professionals and researchers; however, few studies have inherited techniques used in previous literary methods and related research in social sciences. Implementing previous narratology theories to current narrative generation systems is a research area that remains unexplored. Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation is a collection of innovative research on the analysis of current practices in narrative generation systems by combining previous theories in narratology and literature with current methods of AI. The book bridges the gap between AI, cognitive science, and narratology with narrative generation in a broad sense, including other content generation, such as a novels, poems, movies, computer games, and advertisements. The book emphasizes that an important method for bridging the gap is based on designing and implementing computer programs using knowledge and methods of narratology and literary theories. In order to present an organic, systematic, and integrated combination of both the fields to develop a new research area, namely post-narratology, this book has an important place in the creation of a new research area and has an impact on both narrative generation studies, including AI and cognitive science, and narrative studies, including narratology and literary theories. It is ideally designed for academicians, researchers, and students, as well as enterprise practitioners, engineers, and creators of diverse content generation fields such as advertising production, computer game creation, comic and manga writing, and movie production.

In recent decades, a new scientific approach to understand, explain, and predict many features of religion has emerged. The cognitive science of religion (CSR) has amassed research on the forces that shape the tendency for humans to be religious and on what forms belief takes. It suggests that religion, like language or music, naturally emerges in humans with tractable similarities. This new approach has profound implications for how we understand religion, including why it appears so easily, and why people are willing to fight—and die—for it. Yet it is not without its critics, and some fear that scholars are explaining the ineffable mystery of religion away, or showing that religion is natural proves or disproves the existence of God.An Introduction to the Cognitive Science of Religion offers students and general readers an accessible introduction to the approach, providing an overview of key findings and the debates that shape it. The volume includes a glossary of key terms, and each chapter includes suggestions for further thought and further reading as well as chapter summaries highlighting key points.This book is an indispensable resource for introductory courses on religion and a much-needed option for advanced courses.

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.

This book examines the concepts of subjectivity and selfhood developed in the oeuvre of Jean-Paul Sartre. Although Sartre is a prominent philosopher, the reception of his work is shrouded in misguided ideas concerning his alleged subjectivism. This book accurately positions Sartre in debates concerning the two themes which form a guiding thread throughout his work and remain immensely relevant in the philosophical landscape of today. Gusman expertly tracks and uncovers the nuances of the evolving notions of subjectivity and selfhood, paying particular attention to his claim that the Self is a ‘thing among things'and to his views on narrative identity.Using as a framework the critical reception from thinkers in Sartre's own tradition, the book also draws from the recent popularity of his thought in analytic philosophy of mind. Illuminating and impactful, this book provides an invaluable resource to scholars looking for a contemporary and up-to-date critical study of Sartre's work.

“There are words that are so familiar they obscure rather than illuminate the thing they mean, and ‘learning'is such a word. It seems so ordinary, everyone does it. Actually it's more of a black box, which Dehaene cracks open to reveal the awesome secrets within.”--The New York Times Book ReviewAn illuminating dive into the latest science on our brain's remarkable learning abilities and the potential of the machines we program to imitate themThe human brain is an extraordinary learning machine. Its ability to reprogram itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. But how do we learn? What innate biological foundations underlie our ability to acquire new information, and what principles modulate their efficiency?In How We Learn, Stanislas Dehaene finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain's learning algorithms in our schools and universities, as well as in everyday life and at any age.

With the rapid development of the cognitive sciences and their importance to how we contemplate questions about the mind and society, recent research in the humanities has been characterised by a ‘cognitive turn'. For their part, the humanities play an important role in forming popular ideas of the human mind and in analysing the way cognitive, psychological and emotional phenomena are experienced in time and space. This collection aims to inspire medievalists and other scholars within the humanities to engage with the tools and investigative methodologies deriving from cognitive sciences. Contributors explore topics including medieval and modern philosophy of mind, the psychology of religion, the history of psychological medicine and the re-emergence of the body in cognition. What is the value of mapping how neurons fire when engaging with literature and art? How can we understand psychological stress as a historically specific phenomenon? What can medieval mystics teach us about contemplation and cognition?

Paul Thagard uses new accounts of brain mechanisms and social interactions to forge theories of mind, knowledge, reality, morality, justice, meaning, and the arts. Natural Philosophy brings new methods for analyzing concepts, understanding values, and achieving coherence. It shows how to unify the humanities with the cognitive and social sciences. How can people know what is real and strive to make the world better? Philosophy is the attempt to answer general questions about the nature of knowledge, reality, and values. Natural Philosophy pursues these questions by drawing heavily on the sciences and finds no room for supernatural entities such as souls, gods, and possible worlds. It provides original accounts of the traditional branches of philosophy, including epistemology, metaphysics, ethics, and aesthetics. Rather than reducing the humanities to the sciences, this book displays fertile interconnections that show that philosophical questions and artistic practices can be much better understood by considering how human brains operate and interact in social contexts. The sciences and the humanities are interdependent, because both the natural and social sciences cannot avoid questions about methods and values that are primarily the province of philosophy. This book belongs to a trio that includes Brain-Mind: From Neurons to Consciousness and Creativity and Mind-Society: From Brains to Social Sciences and Professions. They can be read independently, but together they make up a Treatise on Mind and Society that provides a unified and comprehensive treatment of the cognitive sciences, social sciences, professions, and humanities.

With contributions from founders of the field, including Justin Barrett, E. Thomas Lawson, Robert N. McCauley, Paschal Boyer, Armin Geertz and Harvey Whitehouse, as well as from younger scholars from successive stages in the field's development, this is an important survey of the first twenty-five years of the cognitive science of religion. Each chapter provides the author's views on the contributions the cognitive science of religion has made to the academic study of religion, as well as any shortcomings in the field and challenges for the future. Religion Explained? The Cognitive Science of Religion after Twenty-five Years calls attention to the field whilst providing an accessible and diverse survey of approaches from key voices, as well as offering suggestions for further research within the field. This book is essential reading for anyone in religious studies, anthropology, and the scientific study of religion.

An extended argument that cognitive phenomena—perceiving, imagining, remembering—can be best explained in terms of an interface between contentless and content-involving forms of cognition.Evolving Enactivism argues that cognitive phenomena—perceiving, imagining, remembering—can be best explained in terms of an interface between contentless and content-involving forms of cognition. Building on their earlier book Radicalizing Enactivism, which proposes that there can be forms of cognition without content, Daniel Hutto and Erik Myin demonstrate the unique explanatory advantages of recognizing that only some forms of cognition have content while others—the most elementary ones—do not. They offer an account of the mind in duplex terms, proposing a complex vision of mentality in which these basic contentless forms of cognition interact with content-involving ones. Hutto and Myin argue that the most basic forms of cognition do not, contrary to a currently popular account of cognition, involve picking up and processing information that is then used, reused, stored, and represented in the brain. Rather, basic cognition is contentless—fundamentally interactive, dynamic, and relational. In advancing the case for a radically enactive account of cognition, Hutto and Myin propose crucial adjustments to our concept of cognition and offer theoretical support for their revolutionary rethinking, emphasizing its capacity to explain basic minds in naturalistic terms. They demonstrate the explanatory power of the duplex vision of cognition, showing how it offers powerful means for understanding quintessential cognitive phenomena without introducing scientifically intractable mysteries into the mix.

A new edition of a classic work that originated the “embodied cognition” movement and was one of the first to link science and Buddhist practices.This classic book, first published in 1991, was one of the first to propose the “embodied cognition” approach in cognitive science. It pioneered the connections between phenomenology and science and between Buddhist practices and science—claims that have since become highly influential. Through this cross-fertilization of disparate fields of study, The Embodied Mind introduced a new form of cognitive science called “enaction,” in which both the environment and first person experience are aspects of embodiment. However, enactive embodiment is not the grasping of an independent, outside world by a brain, a mind, or a self; rather it is the bringing forth of an interdependent world in and through embodied action. Although enacted cognition lacks an absolute foundation, the book shows how that does not lead to either experiential or philosophical nihilism. Above all, the book's arguments were powered by the conviction that the sciences of mind must encompass lived human experience and the possibilities for transformation inherent in human experience. This revised edition includes substantive introductions by Evan Thompson and Eleanor Rosch that clarify central arguments of the work and discuss and evaluate subsequent research that has expanded on the themes of the book, including the renewed theoretical and practical interest in Buddhism and mindfulness. A preface by Jon Kabat-Zinn, the originator of the mindfulness-based stress reduction program, contextualizes the book and describes its influence on his life and work.

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.

Experts from a range of disciplines assess the foundations and implications of a novel action-oriented view of cognition.Cognitive science is experiencing a pragmatic turn away from the traditional representation-centered framework toward a view that focuses on understanding cognition as “enactive.” This enactive view holds that cognition does not produce models of the world but rather subserves action as it is grounded in sensorimotor skills. In this volume, experts from cognitive science, neuroscience, psychology, robotics, and philosophy of mind assess the foundations and implications of a novel action-oriented view of cognition.Their contributions and supporting experimental evidence show that an enactive approach to cognitive science enables strong conceptual advances, and the chapters explore key concepts for this new model of cognition. The contributors discuss the implications of an enactive approach for cognitive development; action-oriented models of cognitive processing; action-oriented understandings of consciousness and experience; and the accompanying paradigm shifts in the fields of philosophy, brain science, robotics, and psychology.ContributorsMoshe Bar, Lawrence W. Barsalov, Olaf Blanke, Jeannette Bohg, Martin V. Butz, Peter F. Dominey, Andreas K. Engel, Judith M. Ford, Karl J. Friston, Chris D. Frith, Shaun Gallagher, Antonia Hamilton, Tobias Heed, Cecilia Heyes, Elisabeth Hill, Matej Hoffmann, Jakob Hohwy, Bernhard Hommel, Atsushi Iriki, Pierre Jacob, Henrik Jörntell, Jürgen Jost, James Kilner, Günther Knoblich, Peter König, Danica Kragic, Miriam Kyselo, Alexander Maye, Marek McGann, Richard Menary, Thomas Metzinger, Ezequiel Morsella, Saskia Nagel, Kevin J. O'Regan, Pierre-Yves Oudeyer, Giovanni Pezzulo, Tony J. Prescott, Wolfgang Prinz, Friedemann Pulvermüller, Robert Rupert, Marti Sanchez-Fibla, Andrew Schwartz, Anil K. Seth, Vicky Southgate, Antonella Tramacere, John K. Tsotsos, Paul F. M. J. Verschure, Gabriella Vigliocco, Gottfried Vosgerau

New research on different areas of cognition, focusing on language, with contributions that treat topics explored in Ray Jackendoff's pioneering research.This volume offers new research in cognitive science by leading scholars, exploring different areas of cognition with an emphasis on language. The contributions—in such fields as linguistic theory, psycholinguistics, evolution, and consciousness—reflect the thriving interdisciplinary scholarship in cognitive science today. Ray Jackendoff's pioneering cross-disciplinary work was instrumental in establishing the field, and Structures in the Mind, with contributions from Jackendoff's colleagues and former students, is a testament to his lasting influence.After an introduction that includes short reflections on Jackendoff's work by such scholars as Paul Bloom, Noam Chomsky, Barbara Partee, and Steven Pinker, the book presents chapters on linguistics, which build on Jackendoff's theories of conceptual semantics and parallel architectures; psycholinguistics, reaching from linguistics to psychology and neuroscience; and other topics as varied as the evolution of linguistic and musical abilities, consciousness, music theory, and the grammar of comics—with this particular chapter taking the form of a comic. The chapters present fresh data, bold claims, and stimulating theoretical discussions, offering a celebration of cognitive science today.ContributorsDaniel Büring, Neil Cohn, Peter W. Culicover, Daniel Dennett, Cecily Jill Duffield, W. Tecumseh Fitch, Lila Gleitman, Jane Grimshaw, Yosef Grodzinsky, Katharina Hartmann, Albert Kim, Max Soowon Kim, Barbara Landau, Fred Lerdahl, Willem J. M. Levelt, Joan Maling, Bhuvana Narasimhan, Urpo Nikanne, Catherine O'Connor, Maria Mercedes Piñango, Daniel Silverman, Henk Verkuyl, Heike Wiese, Eva Wittenberg, Edgar B. Zurif, Joost Zwarts

A neuroscientifically informed theory arguing that the core of qualitative conscious experience arises from the integration of sensory and cognitive modalities.Although science has made considerable progress in discovering the neural basis of cognitive processes, how consciousness arises remains elusive. In this book, Cyriel Pennartz analyzes which aspects of conscious experience can be peeled away to access its core: the “hardest” aspect, the relationship between brain processes and the subjective, qualitative nature of consciousness. Pennartz traces the problem back to its historical roots in the foundations of neuroscience and connects early ideas on sensory processing to contemporary computational neuroscience. What can we learn from neural network models, and where do they fall short in bridging the gap between neural processes and conscious experience? Do neural models of cognition resemble inanimate systems, and how can this help us define requirements for conscious processing in the brain? These questions underlie Pennartz's examination of the brain's anatomy and neurophysiology. The perspective of his account is not limited to visual perception but broadened to include other sensory modalities and their integration. Formulating a representational theory of the neural basis of consciousness, Pennartz outlines properties that complex structures must express to process information consciously. This theoretical framework is constructed using empirical findings from neuropsychology and neuroscience as well as such theoretical arguments as the Cuneiform Room and the Wall Street Banker. Positing that qualitative experience is a multimodal and multilevel phenomenon at its very roots, Pennartz places this body of theory in the wider context of mind-brain philosophy, examining implications for our thinking about animal and robot consciousness.