Systematicity And Surface Similarity In The Development Of Analogy

Similarity and analogy are fundamental in human cognition. They are crucial for recognition and classification, and have been associated with scientific discovery and creativity. Any adequate understanding of similarity and analogy requires the integration of theory and data from diverse domains. This interdisciplinary volume explores current development in research and theory from psychological, computational, and educational perspectives, and considers their implications for learning and instruction. The distinguished contributors examine the psychological processes involved in reasoning by similarity and analogy, the computational problems encountered in simulating analogical processing in problem solving, and the conditions promoting the application of analogical reasoning in everyday situations.

It is widely agreed that similarity and analogy are important in transfer of learning. Recent research suggests that different kinds of similarity enter into different parts of the transfer process. For example, access to long-term memory is more influenced by surface similarity than is analogical inference once an analogy is present. In this paper I decompose similarity-based transfer into separate subprocesses and compare how different kinds of similarity affect each of these processes. Keywords: Similarity, Transfer, Analogical mapping, Analogical soundness, Access.

The Routledge International Handbook of Thinking and Reasoning is an authoritative reference work providing a balanced overview of current scholarship spanning the full breadth of the rapidly developing and expanding field of thinking and reasoning. It contains 35 chapters written by leading international researchers, covering foundational issues as well as state-of-the-art developments in thinking and reasoning research. Topics covered range across all sub-areas of thinking and reasoning, including deduction, induction, abduction, judgment, decision making, argumentation, problem solving, expertise, creativity and rationality. The contributors engage with cutting-edge debates such as the status of dual-process theories of thinking, the role of unconscious, intuitive, emotional and metacognitive processes in thinking, and the importance of probabilistic conceptualisations of thinking and reasoning. Authors also examine the importance of neuroscientific findings in informing theoretical developments, and explore the situated nature of thinking and reasoning across a range of real-world contexts such as mathematics, medicine and science. The Handbook provides a clear sense of the way in which contemporary ideas are challenging traditional viewpoints as "new paradigm of the psychology of reasoning" emerges. This paradigm-shifting research is paving the way toward a richer and more inclusive understanding of thinking and reasoning, where important new questions drive a forward-looking research agenda. It is essential reading for both established researchers in the field of thinking and reasoning as well as advanced students wishing to learn more about both the historical foundations and latest developments in this rapidly growing field.

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

This book examines the role of experience-based learning on children’s acquisition of language and concepts. It reviews, compares, and contrasts accounts of how the opportunity to recognize and generalize patterns influences learning. The book offers the first systematic integration of three highly influential research traditions in the domains of language and concept acquisition: Statistical Learning, Structural Alignment, and the Bayesian learning perspective. Chapters examine the parameters that constrain learning, address conditions that optimize learning, and offer explanations for cases in which implicit exemplar-based learning fails to occur. By exploring both the benefits and challenges children face as they learn from multiple examples, the book offers insight on how to better able to understand children’s early unsupervised learning about language and concepts. Topics featured in this book include: Competing models of statistical learning and how learning might be constrained by infants’ developing cognitive abilities. How experience with multiple exemplars helps infants understand space and other relations. The emergence of category-based inductive reasoning during infancy and early childhood. How children learn individual verbs and the verb system over time. How statistical learning leads to aggregation and abstraction in word learning. Mechanisms for evaluating others’ reliability as sources of knowledge when learning new words. The Search for Invariance (SI) hypothesis and its role in facilitating causal learning. Language and Concept Acquisition from Infancy Through Childhood is an essential resource for researchers, clinicians and related professionals, and graduate students in infancy and early child development, applied linguistics, language education, child, school, and developmental psychology and related mental health and education services.

How we reason with mathematical ideas continues to be a fascinating and challenging topic of research--particularly with the rapid and diverse developments in the field of cognitive science that have taken place in recent years. Because it draws on multiple disciplines, including psychology, philosophy, computer science, linguistics, and anthropology, cognitive science provides rich scope for addressing issues that are at the core of mathematical learning. Drawing upon the interdisciplinary nature of cognitive science, this book presents a broadened perspective on mathematics and mathematical reasoning. It represents a move away from the traditional notion of reasoning as "abstract" and "disembodied", to the contemporary view that it is "embodied" and "imaginative." From this perspective, mathematical reasoning involves reasoning with structures that emerge from our bodily experiences as we interact with the environment; these structures extend beyond finitary propositional representations. Mathematical reasoning is imaginative in the sense that it utilizes a number of powerful, illuminating devices that structure these concrete experiences and transform them into models for abstract thought. These "thinking tools"--analogy, metaphor, metonymy, and imagery--play an important role in mathematical reasoning, as the chapters in this book demonstrate, yet their potential for enhancing learning in the domain has received little recognition. This book is an attempt to fill this void. Drawing upon backgrounds in mathematics education, educational psychology, philosophy, linguistics, and cognitive science, the chapter authors provide a rich and comprehensive analysis of mathematical reasoning. New and exciting perspectives are presented on the nature of mathematics (e.g., "mind-based mathematics"), on the array of powerful cognitive tools for reasoning (e.g., "analogy and metaphor"), and on the different ways these tools can facilitate mathematical reasoning. Examples are drawn from the reasoning of the preschool child to that of the adult learner.

Cognitive flexibility is the cornerstone of learning and enables us to cope with a constantly changing environment. By adapting our knowledge and habits in order to respond to new situations, cognitive flexibility plays a fundamental role in learning. This book proposes a study of the fundamental notions of cognitive flexibility: its measurement and development, its links with metacognition and critical thinking and the role of context in its expression, as well as its involvement in discovering solutions, transferring knowledge and processing analogies. Convergent perspectives are also presented in order to paint a clear picture of cognitive flexibility and to discuss the issues at stake. Thanks to the combined views of specialists in cognitive and developmental psychology, Cognitive Flexibility suggests new educational possibilities based on the results of empirical work on the subject.

This book offers an interdisciplinary account of reference and categorization within the framework of cognitive linguistics. Central issues are the distinction between lexical vagueness and polysemy as well as the creation of new meanings in English and German. Polysemy is resolved by a computational implementation in a machine-translation system.