ersy over categorization. Researchers continue to ask questions such as: Which mechanisms for categorization are available at birth and which emerge later? What are the relative roles of perceptual similarity and nonobservable properties in early classification? What is the role of contextual variation in categorization by infants and children? Do different experimental procedures reveal the same kind of knowledge? Can computational models simulate infant and child categorization? How do computational models inform behavioral research? What is the impact of language on category development? How does language partition the world? This book is the first to address these and other key cuestions within a single volume. The authors present a diverse set of views representing cutting-edge empirical and theoretical advances in the field. The result is a thorough review of empirical contributions to the literature, and a wealth of fresh theoretical perspectives on early categorization.2d:T6b9,Children take their first steps, speak their first words, and learn to solve many new problems seemingly overnight. Yet, each change reflects previous developments in the child across a range of domains, and each change provides opportunities for future development. Developmental Cascades proposes a new framework for understanding development by arguing that change can be explained in terms of the events that occur at one point in development, which set the stage or cause a ripple effect for the emergence or development of different abilities, functions, or behavior at another point in time. It is argued that these developmental cascades are influenced by different kinds of constraints that do not have a single foundation: they may originate from the structure of the child's nervous system and body, the physical or social environment, or knowledge and experience. These constraints occur at multiple levels of processing, change over time, and both contribute to developmental cascades and a

David H. Rakison