In spite of its obvious importance and popularity, the field of cognitive development remains highly fragmented, scientifically. Instead of theoretical convergence towards a generally accepted set of principles, there remains a vast diversity of models of what knowledge and reasoning are, and how they develop. Courses and books tend to deal with this perplexing situation by simply presenting students with either a specific, favoured line, or by offering selections from the theoretical salad. As a result, students have great difficulty in obtaining a cohesive picture of the area. They are frequently bewildered by the diversity of schools, frameworks and approaches, with seemingly little connection between them. More seriously, they are deprived of a critical grasp of the area, and thus forced into a habit of early selectivity, rote memory of specific models in isolation, and regurgitation at exams. This in turn deprives the area of cognitive development of important critical impetus for future improvement. Models of Cognitive Development is an attempt to overcome these problems. It does this by arguing that the vast diversity of theories or models can be organised into groups according to a much smaller set of underlying assumptions or preconceptions, which themselves can be historically interrelated. By understanding these, students may be helped to find their way more confidently around the area as a whole, to see the 'wood' as well as the theoretical forest, and thus find themselves in a position to react to individual models more positively and more critically. Such criticism may, in turn, assist theoretical progress and unity in the future. Models of Cognitive Development covers all the contemporary theoretical and research strands in the area, with numerous examples, in a clear and straightforward manner, and should be useful to all students, researchers, and comparative theoreticians in the area.

What do we mean when we describe a person as intelligent? The concept of intelligence wields a powerful influence on research dealing with the brain and on how individuals progress in society. Yet, remarkably, there is no scientific consensus about the meaning of intelligence. In "The Making of Intelligence" Ken Richardson looks at how intelligence has been characterized and measured in the past, explores current trends in our understanding and uses of the concept, and predicts what form these trends will take in the future.

He argues that intelligence is not solely predetermined by such factors as genes and environment; it is also created by self-organizing interactions within evolved developmental systems. Considering the implications for society of this dynamic-systems approach, Richardson predicts that as our understanding of the relationship between the mind and the brain improves, the notion of intelligence as a single concept may disappear altogether.

Richardson takes particularly sharp aim at IQ tests, exposing the reductionist, oversimplified, and contradictory notions of intelligence that they presuppose as well as the social repercussions of the widespread, unreflecting acceptance of the IQ model in public consciousness.

From the writings of Charles Darwin and Herbert Spencer on evolution and adaptation to the reflections of Jean Piaget and Lev Vygotsky on logical reasoning; from the formulation of early IQ tests by Francis Binet and Henri Simon to their recent, provocative rebirth in the assertions of "The Bell Curve" by Charles Murray and Richard Herrnstein, "The Making of Intelligence" is a lucid, judicious, critical analysis of this controversial and important subject.

What do we mean when we describe a person as intelligent? The concept of intelligence wields a powerful influence on research dealing with the brain and on how individuals progress in society. Yet, remarkably, there is no scientific consensus about the meaning of intelligence. In "The Making of Intelligence" Ken Richardson looks at how intelligence has been characterized and measured in the past, explores current trends in our understanding and uses of the concept, and predicts what form these trends will take in the future.

He argues that intelligence is not solely predetermined by such factors as genes and environment; it is also created by self-organizing interactions within evolved developmental systems. Considering the implications for society of this dynamic-systems approach, Richardson predicts that as our understanding of the relationship between the mind and the brain improves, the notion of intelligence as a single concept may disappear altogether.

Richardson takes particularly sharp aim at IQ tests, exposing the reductionist, oversimplified, and contradictory notions of intelligence that they presuppose as well as the social repercussions of the widespread, unreflecting acceptance of the IQ model in public consciousness.

From the writings of Charles Darwin and Herbert Spencer on evolution and adaptation to the reflections of Jean Piaget and Lev Vygotsky on logical reasoning; from the formulation of early IQ tests by Francis Binet and Henri Simon to their recent, provocative rebirth in the assertions of "The Bell Curve" by Charles Murray and Richard Herrnstein, "The Making of Intelligence" is a lucid, judicious, critical analysis of this controversial and important subject.

In spite of its obvious importance and popularity, the field of cognitive development remains highly fragmented due to the vast diversity of models of what knowledge and reasoning are, and how they develop. This new Classic Edition of Models of Cognitive Development aims to overcome this barrier through its careful introduction, illustrated examples, and approach to helping students think more critically about the subject. In this significant work, Richardson provides students, researchers, and comparative theoreticians with a cohesive understanding of the area by organizing diverse schools, frameworks, and approaches according to a much smaller set of underlying assumptions or preconceptions, which themselves can be historically interrelated. By understanding these, it's possible to find pathways around the area more confidently as a whole, to see the "wood" as well as the theoretical trees, and be able to react to individual models more critically and constructively. The Classic Edition of this core text will be essential reading for undergraduate and graduate students of cognitive development.

In spite of its obvious importance and popularity, the field of cognitive development remains highly fragmented due to the vast diversity of models of what knowledge and reasoning are, and how they develop. This new Classic Edition of Models of Cognitive Development aims to overcome this barrier through its careful introduction, illustrated examples, and approach to helping students think more critically about the subject. In this significant work, Richardson provides students, researchers, and comparative theoreticians with a cohesive understanding of the area by organizing diverse schools, frameworks, and approaches according to a much smaller set of underlying assumptions or preconceptions, which themselves can be historically interrelated. By understanding these, it's possible to find pathways around the area more confidently as a whole, to see the "wood" as well as the theoretical trees, and be able to react to individual models more critically and constructively. The Classic Edition of this core text will be essential reading for undergraduate and graduate students of cognitive development.

Have you ever wondered why psychologists still can't agree on what intelligence is? Or felt dismayed by debates around individual differences? Criticising the pitfalls of IQ testing, this book explains the true nature of intelligent systems, and their evolution from cells to brains to culture and human minds. Understanding Intelligence debunks many of the myths and misunderstandings surrounding intelligence. It takes a new look at the nature of the environment and the development of 'talent' and achievement. This brings fresh and radical implications for promoting intelligence and creativity, and prompts readers to reconsider their own possibilities and aspirations. Providing a broad context to the subject, the author also unmasks the ideological distortions of intelligence in racism and eugenics, and the suppressed expectations across social classes and genders. This book is a must-read for anyone curious about our own intelligence.

Have you ever wondered why psychologists still can't agree on what intelligence is? Or felt dismayed by debates around individual differences? Criticising the pitfalls of IQ testing, this book explains the true nature of intelligent systems, and their evolution from cells to brains to culture and human minds. Understanding Intelligence debunks many of the myths and misunderstandings surrounding intelligence. It takes a new look at the nature of the environment and the development of 'talent' and achievement. This brings fresh and radical implications for promoting intelligence and creativity, and prompts readers to reconsider their own possibilities and aspirations. Providing a broad context to the subject, the author also unmasks the ideological distortions of intelligence in racism and eugenics, and the suppressed expectations across social classes and genders. This book is a must-read for anyone curious about our own intelligence.

This book is an introduction to several active research topics in Foliation Theory and its connections with other areas. It contains expository lectures showing the diversity of ideas and methods converging in the study of foliations. The lectures by Aziz El Kacimi Alaoui provide an introduction to Foliation Theory with emphasis on examples and transverse structures. Steven Hurder's lectures apply ideas from smooth dynamical systems to develop useful concepts in the study of foliations: limit sets and cycles for leaves, leafwise geodesic flow, transverse exponents, Pesin Theory and hyperbolic, parabolic and elliptic types of foliations. The lectures by Masayuki Asaoka compute the leafwise cohomology of foliations given by actions of Lie groups, and apply it to describe deformation of those actions. In his lectures, Ken Richardson studies the properties of transverse Dirac operators for Riemannian foliations and compact Lie group actions, and explains a recently proved index formula. Besides students and researchers of Foliation Theory, this book will be interesting for mathematicians interested in the applications to foliations of subjects like Topology of Manifolds, Differential Geometry, Dynamics, Cohomology or Global Analysis.