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.

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.

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.

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

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.

This book proposes a novel CWW model to personalize individual semantics in linguistic decision making, based on two new concepts: numerical scale and consistency-driven methodology. The numerical scale model provides a unified framework to connect different linguistic symbolic computational models for CWW, and the consistency-driven methodology customizes individuals' semantics to support linguistic group decision making by setting personalized numerical scales. The book is a valuable resource for researchers and postgraduates who are interested in CWW in linguistic decision making.

In the past few years, with the evolution of advanced persistent threats and mutation techniques, sensitive and damaging information from a variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and similar disciplines of cognitive science applications have been found to have significant applications in the domain of cyber security. Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect threats and analyze data to capture malware. Highlighting such topics as anomaly detection, intelligent platforms, and triangle scheme, this publication is designed for IT specialists, computer engineers, researchers, academicians, and industry professionals interested in the impact of machine learning in cyber security and the methodologies that can help improve the performance and reliability of machine learning applications.

A new theory is taking hold in neuroscience. It is the theory that the brain is essentially a hypothesis-testing mechanism, one that attempts to minimise the error of its predictions about the sensory input it receives from the world. It is an attractive theory because powerful theoretical arguments support it, and yet it is at heart stunningly simple. Jakob Hohwy explains and explores this theory from the perspective of cognitive science and philosophy. The key argument throughout The Predictive Mind is that the mechanism explains the rich, deep, and multifaceted character of our conscious perception. It also gives a unified account of how perception is sculpted by attention, and how it depends on action. The mind is revealed as having a fragile and indirect relation to the world. Though we are deeply in tune with the world we are also strangely distanced from it. The first part of the book sets out how the theory enables rich, layered perception. The theory's probabilistic and statistical foundations are explained using examples from empirical research and analogies to different forms of inference. The second part uses the simple mechanism in an explanation of problematic cases of how we manage to represent, and sometimes misrepresent, the world in health as well as in mental illness. The third part looks into the mind, and shows how the theory accounts for attention, conscious unity, introspection, self and the privacy of our mental world.

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.

Previously, artificial neural networks have been used to capture only the informal properties of music. However, cognitive scientist Michael Dawson found that by training artificial neural networks to make basic judgments concerning tonal music, such as identifying the tonic of a scale or the quality of a musical chord, the networks revealed formal musical properties that differ dramatically from those typically presented in music theory. For example, where Western music theory identifies twelve distinct notes or pitch-classes, trained artificial neural networks treat notes as if they belong to only three of four different pitch-classes, a wildly different interpretation of the components of tonal music. Intended to introduce readers to the use of artificial neural networks in the study of music, this volume contains numerous case studies and research findings that address problems related to identifying scales, keys, classifying musical chords, and learning jazz chord progressions. A detailed analysis of networks is provided for each case study which together demonstrate that focusing on the internal structure of trained networks could yield important contributions to the field of music cognition.

Studying narratives is often the best way to gain a good understanding of how various aspects of human information are organized and integrated-the narrator employs specific informational methods to build the whole structure of a narrative through combining temporally constructed events in light of an array of relationships to the narratee and these methods reveal the interaction of the rational and the sensitive aspects of human information. Computational and Cognitive Approaches to Narratology discusses issues of narrative-related information and communication technologies, cognitive mechanism and analyses, and theoretical perspectives on narratives and the story generation process. Focusing on emerging research as well as applications in a variety of fields including marketing, philosophy, psychology, art, and literature, this timely publication is an essential reference source for researchers, professionals, and graduate students in various information technology, cognitive studies, design, and creative fields.

This book explores how minds at the movies understand minds in the movies and introduces readers to some fundamental principles of Cognitive Studies-namely conceptual blending, Theory of Mind, and empathy/perspective-taking-through their application to film analysis. A cognitive approach to recent popular historical films demonstrates cinema's potential to stimulate viewers' critical thinking about crucial events of the past century. Diverging from the focus on narrative processing in traditional cognitivist theory, this book examines film reception and production in the context of the latest developments in cognitive and social psychology. Turning to German cinema as a case study for this interdisciplinary partnership, Jennifer Marston William offers a fresh look at some internationally successful films of the twenty-first century, including Nowhere in Africa, Goodbye, Lenin!, Sophie Scholl, Downfall, The Lives of Others, and The Baader-Meinhof Complex.

This book explores and evaluates accounts and models of autistic reasoning and cognition from a computational standpoint. The author investigates the limitations and peculiarities of autistic reasoning and sets out a remediation strategy to be used by a wide range of psychologists and rehabilitation personnel and will also be appreciated by computer scientists who are interested in the practical implementation of reasoning. The author subjects the Theory of Mind (ToM) model to a formal analysis to investigate the limitations of autistic reasoning and proposes a formal model regarding mental attitudes and proposes a method to help those with autism navigate everyday living. Based on the concept of playing with computer based mental simulators, the NL_MAMS, is examined to see whether it is capable of modeling mental and emotional states of the real world to aid the emotional development of autistic children. Multiple autistic theories and strategies are also examined for possible computational cross-overs, providing researchers with a wide range of examples, tools and detailed case studies to work from. Computational Autism will be an essential read to behavioral specialists, researcher's, developers and designers who are interested in understanding and tackling the increasing prevalence of autism within modern society today.

Verbs play an important role in how events, states and other "happenings" are mentally represented and how they are expressed in natural language. Besides their central role in linguistics, verbs have long been prominent topics of research in analytic philosophy-mostly on the nature of events and predicate-argument structure-and a topic of empirical investigation in psycholinguistics, mostly on argument structure and its role in sentence comprehension. More recently, the representation of verb meaning has been gaining momentum as a topic of research in other cognitive science branches, notably neuroscience and the psychology of concepts. The present volume is an expression of this recent surge in the investigation of verb structure and meaning from the interdisciplinary perspective of cognitive science, with up-to-date contributions by theoretical linguists, philosophers, psycholinguists and neuroscientists. The volume presents new theoretical and empirical studies on how verb structure and verb meaning are represented, how they are processed during language comprehension, how they are acquired, and how they are neurologically implemented. Cognitive Science Perspectives on Verb Representation and Processing is a reflection of the recent collaboration between the disciplines that constitute cognitive science, bringing new empirical data and theoretical insights on a key element of natural language and conceptualization.

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.

An introduction to the study of children's language development that provides a uniquely accessible perspective on generative/universal grammar-based approaches. How children acquire language so quickly, easily, and uniformly is one of the great mysteries of the human experience. The theory of Universal Grammar suggests that one reason for the relative ease of early language acquisition is that children are born with a predisposition to create a grammar. This textbook offers an introduction to the study of children's acquisition and development of language from a generative/universal grammar-based theoretical perspective, providing comprehensive coverage of children's acquisition while presenting core concepts crucial to understanding generative linguistics more broadly. After laying the theoretical groundwork, including consideration of alternative frameworks, the book explores the development of the sound system of language-children's perception and production of speech sound; examines how words are learned (lexical semantics) and how words are formed (morphology); investigates sentence structure (syntax), including argument structure, functional structure, and tense; considers such "nontypical" circumstances as acquiring a first language past infancy and early childhood, without the abilities to hear or see, and with certain cognitive disorders; and studies bilingual language acquisition, both simultaneously and in sequence. Each chapter offers a summary section, suggestions for further reading, and exercises designed to test students' understanding of the material and provide opportunities to practice analyzing children's language. Appendixes provide charts of the International Phonetic Alphabet (with links to websites that allow students to listen to the sounds associated with these symbols) and a summary of selected experimental methodologies.

This book shows cognitive scientists in training how mathematics, computer science and science can be usefully and seamlessly intertwined. It is a follow-up to the first two volumes on mathematics for cognitive scientists, and includes the mathematics and computational tools needed to understand how to compute the terms in the Fourier series expansions that solve the cable equation. The latter is derived from first principles by going back to cellular biology and the relevant biophysics. A detailed discussion of ion movement through cellular membranes, and an explanation of how the equations that govern such ion movement leading to the standard transient cable equation are included. There are also solutions for the cable model using separation of variables, as well an explanation of why Fourier series converge and a description of the implementation of MatLab tools to compute the solutions. Finally, the standard Hodgkin - Huxley model is developed for an excitable neuron and is solved using MatLab.

This book offers a self-study program on how mathematics, computer science and science can be profitably and seamlessly intertwined. This book focuses on two variable ODE models, both linear and nonlinear, and highlights theoretical and computational tools using MATLAB to explain their solutions. It also shows how to solve cable models using separation of variables and the Fourier Series.