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Much of our understanding of human thinking is based on probabilistic models. This innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the underlying mathematical structures from quantum theory provide a much better account of human thinking than traditional models. They introduce the foundations for modelling probabilistic-dynamic systems using two aspects of quantum theory. The first, 'contextuality', is a way to understand interference effects found with inferences and decisions under conditions of uncertainty. The second, 'quantum entanglement', allows cognitive phenomena to be modeled in non-reductionist ways. Employing these principles drawn from quantum theory allows us to view human cognition and decision in a totally new light. Introducing the basic principles in an easy-to-follow way, this book does not assume a physics background or a quantum brain and comes complete with a tutorial and fully worked-out applications in important areas of cognition and decision.

This popular, established text has been expanded to include the most up-to-date research on social cognition models and health behaviours.

Learners are multi-faceted, unique people. Discovering the whole individual is incumbent upon realizing the teaching/learning environments, common social and societal realities, and belief and value systems respective of academic and socio-societal factors that establish who one is as a learner and teacher. In Learning and Teaching, the authors offer practical strategies for interactive instruction to facilitate optimum learning. This book addresses theoretical framework that includes the relationship between thoughts and feelings, the effect of past esperiences on present and future behaviors, universal connectivity, and a strong understanding of who one is as a teacher and learner.

This second volume in the Counterpoints Series, which explores issues in psychology, child development, linguistics, and neuroscience, focuses on alternative models of visual-spatial processing in human cognition. This text offers extended chapters from three of the most respected and recognized investigators in the field: Michel Denis, Margaret Intons-Peterson, and Philip Johnson-Laird. Denis considers the role of mental imagery in spatial cognition and topographical orientation; images are viewed as a form of mental representation that is similar to real-world objects. Intons-Peterson examines spatial representation in short-term, or working-memory, considering the relationship of visual-spatial processes to subjects' expectations and individual differences. Johnson-Laird approaches the issue of visual-spatial representation from a "mental models" perspective, considering the relationship of images to various cognitive events. The editors provide a historical and theoretical introduction; and a final chapter integrates the arguments of the chapters, offering ideas about new directions and new research designs.

This popular, established text has been expanded to include the most up-to-date research on social cognition models and health behaviours.

Two psychologists, a computer scientist, and a philosopher have collaborated to present a framework for understanding processes of inductive reasoning and learning in organisms and machines.

These essays tackle some of the central issues in visual cognition, presenting experimental techniques from cognitive psychology, new ways of modeling cognitive processes on computers from artificial intelligence, and new ways of studying brain organization from neuropsychology, to address such questions as: How do we recognize objects in front of us? How do we reason about objects when they are absent and only in memory? How do we conceptualize the three dimensions of space? Do different people do these things in different ways? And where are these abilities located in the brain? While this research, which appeared as a special issue of the journal Cognition, is at the cutting edge of cognitive science, it does not assume a highly technical background on the part of readers. The book begins with a tutorial introduction by the editor, making it suitable for specialists and nonspecialists alike.

Volume 2 applies it to a number of specific issues in cognitive science and neuroscience, with chapters describing models of aspects of perception, memory, language, and thought.

What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience. It covers classical topics, including the Hodgkin-Huxley equations and Hopfield model, as well as modern developments in the field such as generalized linear models and decision theory. Concepts are introduced using clear step-by-step explanations suitable for readers with only a basic knowledge of differential equations and probabilities, and are richly illustrated by figures and worked-out examples. End-of-chapter summaries and classroom-tested exercises make the book ideal for courses or for self-study. The authors also give pointers to the literature and an extensive bibliography, which will prove invaluable to readers interested in further study.

These essays tackle some of the central issues in visual cognition, presenting experimental techniques from cognitive psychology, new ways of modeling cognitive processes on computers from artificial intelligence, and new ways of studying brain organization from neuropsychology, to address such questions as: How do we recognize objects in front of us? How do we reason about objects when they are absent and only in memory? How do we conceptualize the three dimensions of space? Do different people do these things in different ways? And where are these abilities located in the brain? While this research, which appeared as a special issue of the journal Cognition, is at the cutting edge of cognitive science, it does not assume a highly technical background on the part of readers. The book begins with a tutorial introduction by the editor, making it suitable for specialists and nonspecialists alike.

Occupational therapy clinicians have the knowledge and skills to address the consequences of cognitive, neurological, and executive dysfunctions that can result from aging, illness, brain injury, stroke, or neurodevelopmental disorder. Practitioners can guide people facing neurological dysfunction to gain the skills they need to participate in family, work, and community life. The fourth edition of Cognition, Occupation, and Participation Across the Lifespan not only updates the information from previous edition, but also has expanded content, including 9 new chapters, a new section on children and adolescents, and content on topics includiong ethical considerations, consumer technologies, and development of cognition and executive functions. Providing intervention models grounded in neuroscience and occupation, this comprehensive new edition of the best-seller examines current evidence and best practices for working with clients across the lifespan. Cognitive models include theoretical basis, evaluation and intervention processes, and evidence to help clinicians teach clients processing strategies that use their assets to achieve successful occupational performance and participation. Chapters include key terms and concepts, learning objectives, case examples, and a summary of key points.

This review of advances in cognition and educational practice examines conceptual issues in research in intelligence.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.33

Much of our understanding of human thinking is based on probabilistic models. This innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the underlying mathematical structures from quantum theory provide a much better account of human thinking than traditional models. They introduce the foundations for modelling probabilistic-dynamic systems using two aspects of quantum theory. The first, 'contextuality', is a way to understand interference effects found with inferences and decisions under conditions of uncertainty. The second, 'quantum entanglement', allows cognitive phenomena to be modeled in non-reductionist ways. Employing these principles drawn from quantum theory allows us to view human cognition and decision in a totally new light. Introducing the basic principles in an easy-to-follow way, this book does not assume a physics background or a quantum brain and comes complete with a tutorial and fully worked-out applications in important areas of cognition and decision.

This review of advances in cognition and educational practice examines conceptual issues in research in intelligence.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.68

Buy with confidence! Book is in new, never-used condition 1.17