This book presents the complete collection of peer-reviewed presentations at the 1999 Cognitive Science Society meeting, including papers, poster abstracts, and descriptions of conference symposia. For students and researchers in all areas of cognitive science.

Vol inclu all ppers & postrs presntd at 2000 Cog Sci mtg & summaries of symposia & invitd addresses. Dealg wth issues of representg & modelg cog procsses, appeals to scholars in all subdiscip tht comprise cog sci: psy, compu sci, neuro sci, ling, & philo

Vol. includes all papers and posters presented at 2001 Cog Sci Mtg & summaries of symposia & invited addresses. Deals w/ issues of repres & model'g cog processes. Appeals to scholars in subdisciplines that comprise Cog Sci: Psych, Computr Sci, Neuro, Lin

This collection brings together a set of specially commissioned chapters from leading international researchers in the psychology of reasoning. Its purpose is to explore the historical, philosophical and theoretical implications of the development of this field. Taking the unusual approach of engaging not only with empirical data but also with the ideas and concepts underpinning the psychology of reasoning, this volume has important implications both for psychologists and other students of cognition, including philosophers. Sub-fields covered include mental logic, mental models, rational analysis, social judgement theory, game theory and evolutionary theory. There are also specific chapters dedicated to the history of syllogistic reasoning, the psychology of reasoning as it operates in scientific theory and practice, Brunswickian approaches to reasoning and task environments, and the implications of Popper's philosophy for models of behaviour testing. This cross-disciplinary dialogue and the range of material covered makes this an invaluable reference for students and researchers into the psychology and philosophy of reasoning.

How does the brain represent number and make mathematical calculations? What underlies the development of numerical and mathematical abilities? What factors affect the learning of numerical concepts and skills? What are the biological bases of number knowledge? Do humans and other animals share similar numerical representations and processes? What underlies numerical and mathematical disabilities and disorders, and what is the prognosis for rehabilitation? These questions are the domain of mathematical cognition, the field of research concerned with the cognitive and neurological processes that underlie numerical and mathematical abilities. The Handbook of Mathematical Cognition is a collection of 27 essays by leading researchers that provides a comprehensive review of this important research field.

Providing comprehensive coverage of the theoretical bases of metacognition and its applications to educational practice, this compendium of focused and in-depth discussions from leading scholars in the field: represents an intersection of education, cognitive science, and technology; serves as a gateway to the literature for researchers and practitioners interested in one or more of the wide array of topics included; and sets the standard for scholarship for theoretical research and practical applications in this field. The Handbook of Metacognition in Education — covering Comprehension Strategies, Metacognitive Strategies, Metacomprehension, Writing, Science and Mathematics, Individual Differences, Self-Regulated Learning, Technology, Tutoring, and Measurement — is an essential resource for researchers, faculty, students, curriculum developers, teachers, and others interested in using research and theory on metacognition to guide and inform educational practice.

This volume's goal is to provide readers with up-to-date information on the research and theory of scientific text comprehension. It is widely acknowledged that the comprehension of science and technological artifacts is very difficult for both children and adults. The material is conceptually complex, there is very little background knowledge for most individuals, and the materials are often poorly written. Therefore, it is no surprise that students are turned off from learning science and technology. Given these challenges, it is important to design scientific text in a fashion that fits the cognitive constraints of the learner. The enterprise of textbook design needs to be effectively integrated with research in discourse processing, educational technology, and cognitive science. This book takes a major step in promoting such an integration. This volume: *provides an important integration of research and theory with theoretical, methodological, and educational applications; *includes a number of chapters that cover how science text information affects mental representations and strategies; *introduces important suggestions about how text design and new technologies can be thought of as pedagogical features; and *establishes academic text taxonomies and a consensus of the criteria to organize inferences and other mental mechanisms.