Research concerning structure and processing in the mental lexicon has achieved central prominence within cognitive psychology and psycholinguistics. Historically, however, much of the research on the lexicon focussed not on its role in language comprehension, but as a medium for studying semantic memory. This picture has changed in recent years, with much more research examining the role of lexical processes and output in language comprehension.Gathered together in this volume is the work of some of those researchers who are responsible for this shift of emphasis. Chapters deal with the role of sentence contexts in word recognition, processes involved in the activation and enhancement of lexical information, and the interaction of lexical and syntactic information in sentence processing. A wide range of theoretical and empirical issues relating to language understanding are discussed.

Explaining Creativity is a comprehensive and authoritative overview of scientific studies on creativity and innovation. Sawyer discusses not only arts like painting and writing, but also science, stage performance, business innovation, and creativity in everyday life. Sawyer's approach is interdisciplinary. In addition to examining psychological studies on creativity, he draws on anthropologists' research on creativity in non-Western cultures, sociologists' research on the situations, contexts, and networks of creative activity, and cognitive neuroscientists' studies of the brain.

In this book leading scholars from every relevant field report on all aspects of compositionality, the notion that the meaning of an expression can be derived from its parts. Understanding how compositionality works is a central element of syntactic and semantic analysis and a challenge for models of cognition. It is a key concept in linguistics and philosophy and in the cognitive sciences more generally, and is without question one of the most exciting fields in the study of language and mind. The authors of this book report critically on lines of research in different disciplines, revealing the connections between them and highlighting current problems and opportunities. The force and justification of compositionality have long been contentious. First proposed by Frege as the notion that the meaning of an expression is generally determined by the meaning and syntax of its components, it has since been deployed as a constraint on the relation between theories of syntax and semantics, as a means of analysis, and more recently as underlying the structures of representational systems, such as computer programs and neural architectures. The Oxford Handbook of Compositionality explores these and many other dimensions of this challenging field. It will appeal to researchers and advanced students in linguistics and philosophy and to everyone concerned with the study of language and cognition including those working in neuroscience, computational science, and bio-informatics.

Now available in paperback for the first time since its original publication, the material in this book provides a broad, accessible guide to semantic typology, crosslinguistic semantics and diachronic semantics. Coming from a world-leading team of authors, the book also deals with the concept of meaning in psycholinguistics and neurolinguistics, and the understanding of semantics in computer science. It is packed with highly cited, expert guidance on the key topics in the field, making it a bookshelf essential for linguists, cognitive scientists, philosophers, and computer scientists working on natural language.

"Its publication should be a major event for cognitive linguistics and should pose a major challenge for cognitive science. In addition, it should have repercussions in a variety of disciplines, ranging from anthropology and psychology to epistemology and the philosophy of science. . . . Lakoff asks: What do categories of language and thought reveal about the human mind? Offering both general theory and minute details, Lakoff shows that categories reveal a great deal."—David E. Leary, American Scientist

Conceptual change, how conceptual understanding is transformed, has been investigated extensively since the 1970s. The field has now grown into a multifaceted, interdisciplinary effort with strands of research in cognitive and developmental psychology, education, educational psychology, and the learning sciences. Converging Perspectives on Conceptual Change brings together an extensive team of expert contributors from around the world, and offers a unique examination of how distinct lines of inquiry can complement each other and have converged over time. Amin and Levrini adopt a new approach to assembling the diverse research on conceptual change: the combination of short position pieces with extended synthesis chapters within each section, as well as an overall synthesis chapter at the end of the volume, provide a coherent and comprehensive perspective on conceptual change research. Arranged over five parts, the book covers a number of topics including: the nature of concepts and conceptual change representation, language, and discourse in conceptual change modeling, explanation, and argumentation in conceptual change metacognition and epistemology in conceptual change identity and conceptual change. Throughout this wide-ranging volume, the editors present researchers and practitioners with a more internally consistent picture of conceptual change by exploring convergence and complementarity across perspectives. By mapping features of an emerging paradigm, they challenge newcomers and established scholars alike to embrace a more programmatic orientation towards conceptual change.

This Festschrift volume, published in honor of John Mylopoulos on the occasion of his retirement from the University of Toronto, contains 25 high-quality papers, written by leading scientists in the field of conceptual modeling. The volume has been divided into six sections. The first section focuses on the foundations of conceptual modeling and contains material on ontologies and knowledge representation. The four sections on software and requirements engineering, information systems, information integration, and web and services, represent the chief current application domains of conceptual modeling. Finally, the section on implementations concentrates on projects that build tools to support conceptual modeling. With its in-depth coverage of diverse topics, this book could be a useful companion to a course on conceptual modeling.

This book presents the latest research in cognitive psychology which is a school of thought in psychology that examines internal mental processes such as problem solving, memory, and language. The school of thought arising from this approach is known as cognitivism. Cognitive psychologists are interested in how people understand, diagnose, and solve problems, concerning themselves with the mental processes which mediate between stimulus and response. Cognitive theory contends that solutions to problems take the form of algorithms -- rules that are not necessarily understood but promise a solution, or heuristics -- rules that are understood but that do not always guarantee solutions. In other instances, solutions may be found through insight, a sudden awareness of relationships.