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This handbook introduces the reader to the thought-provoking research on the neural foundations of human intelligence. Written for undergraduate or graduate students, practitioners, and researchers in psychology, cognitive neuroscience, and related fields, the chapters summarize research emerging from the rapidly developing neuroscience literature on human intelligence. The volume focusses on theoretical innovation and recent advances in the measurement, modelling, and characterization of the neurobiology of intelligence differences, especially from brain imaging studies. It summarizes fundamental issues in the characterization and measurement of general intelligence, and surveys multidisciplinary research consortia and large-scale data repositories for the study of general intelligence. A systematic review of neuroimaging methods for studying intelligence is provided, including structural and diffusion-weighted MRI techniques, functional MRI methods, and spectroscopic imaging of metabolic markers of intelligence.
In Decembe,r, 1984 a NATO-sponsored Advanced Study Institute entitled "Human Asessment:Cognition and Motivation" took place in Athens. It succeeded in attracting a great many of the most eminent scholars and researchers in this area, both as lecturers and participants. The contributors to this book are mostly members of staff who taught at the Institute. The chapters they have written are designed to provide an introduction to the principal issues that arise in the study of the assessment of intelligence and cognition. Since most of the protagonists are represented in this book the student is provided with an excellent overview. Many different people are responsible for preparation of a book such as this. We would like to express particular thanks to Siobhan Breslin and Julie Coleman, who typed the text despite an unfriendly and unreliable word-processing system. Thanks are also due to Steve Gill who helped with the preparation of the figures. Finally, as a mark of respect for his achievements and leadership in the field of mental measurement, we dedicate this volume to Norman Frederiksen. Sidney H. Irvine Stephen E. Newstead Plymouth, September 1985. -VII- CONTENTS Preface VII Contributors to this volume XI Functions and constants in mental measurement: Chapter 1 A taxonomic approach. 1 Sidney H. Irvine Human cognition and intelligence: Towards an Chapter 2 integrated theoretical perspective. 27 John M. Verster Chapter 3 Synopsis of a triarchic theory of human intelligence.
Edwin Hutchins combines his background as an anthropologist and an open ocean racing sailor and navigator in this account of how anthropological methods can be combined with cognitive theory to produce a new reading of cognitive science. His theoretical insights are grounded in an extended analysis of ship navigation—its computational basis, its historical roots, its social organization, and the details of its implementation in actual practice aboard large ships. The result is an unusual interdisciplinary approach to cognition in culturally constituted activities outside the laboratory—"in the wild." Hutchins examines a set of phenomena that have fallen in the cracks between the established disciplines of psychology and anthropology, bringing to light a new set of relationships between culture and cognition. The standard view is that culture affects the cognition of individuals. Hutchins argues instead that cultural activity systems have cognitive properties of their own that are different from the cognitive properties of the individuals who participate in them. Each action for bringing a large naval vessel into port, for example, is informed by culture: the navigation team can be seen as a cognitive and computational system. Introducing Navy life and work on the bridge, Hutchins makes a clear distinction between the cognitive properties of an individual and the cognitive properties of a system. In striking contrast to the usual laboratory tasks of research in cognitive science, he applies the principal metaphor of cognitive science—cognition as computation (adopting David Marr's paradigm)—to the navigation task. After comparing modern Western navigation with the method practiced in Micronesia, Hutchins explores the computational and cognitive properties of systems that are larger than an individual. He then turns to an analysis of learning or change in the organization of cognitive systems at several scales. Hutchins's conclusion illustrates the costs of ignoring the cultural nature of cognition, pointing to the ways in which contemporary cognitive science can be transformed by new meanings and interpretations. A Bradford Book
The finding that working memory training can increase fluid intelligence triggered a great number of cognitive training studies, the results of which have been fiercely debated among experts. The finding also prompted a surge of commercial versions of these working memory training programs. Increasing Intelligence overviews contemporary approaches and techniques designed to increase general cognitive ability in healthy individuals. The book covers behavioral training and different electrical stimulation methods such as TMS, tDCS, tACS, and tRNS, along with alternative approaches ranging from neurofeedback to cognitive-enhancing drugs. It describes crucial brain features that underlie intelligent behavior and discusses theoretical and technical shortcomings of the reported studies, then goes on to suggest avenues for future research and inquiry. - Summarizes the history of attempts to raise intelligence - Describes the intelligence construct and the cognitive mechanisms thought to be at the core of intellectual functioning - Provides an overview of the neurobiological underpinnings of intelligence - Discusses the efficacy and limitations of behavioral training approaches and brain stimulation methods aiming to increase performance on working memory and intelligence tests - Examines the effects of neurofeedback, exercise, meditation, nutrition, and drugs on cognitive enhancement
This edited book designs the Cognitive Computing in Human Cognition to analyze to improve the efficiency of decision making by cognitive intelligence. The book is also intended to attract the audience who work in brain computing, deep learning, transportation, and solar cell energy. Due to this in the recent era, smart methods with human touch called as human cognition is adopted by many researchers in the field of information technology with the Cognitive Computing.
Written by well-known experts, this book is about psychological research on intelligence and the various factors that influence its development. The volume summarizes and synthesizes the past 30 years of literature on intelligence. Each author takes a different experimental approach to the subject, spanning research on neuroscience and perceptual speed to research on problem solving and metacognition.
From the Foreword: "In this book Joscha Bach introduces Dietrich Dörner's PSI architecture and Joscha's implementation of the MicroPSI architecture. These architectures and their implementation have several lessons for other architectures and models. Most notably, the PSI architecture includes drives and thus directly addresses questions of emotional behavior. An architecture including drives helps clarify how emotions could arise. It also changes the way that the architecture works on a fundamental level, providing an architecture more suited for behaving autonomously in a simulated world. PSI includes three types of drives, physiological (e.g., hunger), social (i.e., affiliation needs), and cognitive (i.e., reduction of uncertainty and expression of competency). These drives routinely influence goal formation and knowledge selection and application. The resulting architecture generates new kinds of behaviors, including context dependent memories, socially motivated behavior, and internally motivated task switching. This architecture illustrates how emotions and physical drives can be included in an embodied cognitive architecture. The PSI architecture, while including perceptual, motor, learning, and cognitive processing components, also includes several novel knowledge representations: temporal structures, spatial memories, and several new information processing mechanisms and behaviors, including progress through types of knowledge sources when problem solving (the Rasmussen ladder), and knowledge-based hierarchical active vision. These mechanisms and representations suggest ways for making other architectures more realistic, more accurate, and easier to use. The architecture is demonstrated in the Island simulated environment. While it may look like a simple game, it was carefully designed to allow multiple tasks to be pursued and provides ways to satisfy the multiple drives. It would be useful in its own right for developing other architectures interested in multi-tasking, long-term learning, social interaction, embodied architectures, and related aspects of behavior that arise in a complex but tractable real-time environment. The resulting models are not presented as validated cognitive models, but as theoretical explorations in the space of architectures for generating behavior. The sweep of the architecture can thus be larger-it presents a new cognitive architecture attempting to provide a unified theory of cognition. It attempts to cover perhaps the largest number of phenomena to date. This is not a typical cognitive modeling work, but one that I believe that we can learn much from." --Frank E. Ritter, Series Editor Although computational models of cognition have become very popular, these models are relatively limited in their coverage of cognition-- they usually only emphasize problem solving and reasoning, or treat perception and motivation as isolated modules. The first architecture to cover cognition more broadly is PSI theory, developed by Dietrich Dorner. By integrating motivation and emotion with perception and reasoning, and including grounded neuro-symbolic representations, PSI contributes significantly to an integrated understanding of the mind. It provides a conceptual framework that highlights the relationships between perception and memory, language and mental representation, reasoning and motivation, emotion and cognition, autonomy and social behavior. It is, however, unfortunate that PSI's origin in psychology, its methodology, and its lack of documentation have limited its impact. The proposed book adapts Psi theory to cognitive science and artificial intelligence, by elucidating both its theoretical and technical frameworks, and clarifying its contribution to how we have come to understand cognition.