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With a long-standing tradition for excellence, this series is a collection of quality papers that are widely read by researchers in cognitive and experimental psychology. Each chapter thoughtfully integrates the writings of leading contributors, who present and discuss significant bodies of research relevant to their discipline.
The Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving. This guest-edited special issue is devoted to research and discussion on decision making from a cognitive perspective. Topics include judgment and decision making with respect to memory processes and techniques, domain-specificity, and confirmation bias.Key Features* Synthesis of decision and cognitive research* New theoretical treatments of critical phenomena* New findings and systematic reviews of past work* Coverage of preference, inference, prediction, and hypothesis-testing* Written by the new leading generation of researchers
How to Show Things with Words is an interdisciplinary research study at the interface between linguistics and philosophy which sheds new light on the narrative-theoretical issue of proximal vs. distal stance adoption in discourse. Narrative distance ultimately depends on the epistemological source of the information conveyed, but English and other Indo-European languages have no inflectional systems for (en)coding that source of knowledge. To fill in the gap, speech act theory is (re)considered in the light of philosophical research on linguistic functions and a parallel is drawn between grammaticalized evidential categories and the objectifying acts of Husserl's phenomenology of constitutio...
This volume comprises contributions from different disciplines (cognitive psychology, linguistics, computer science, neuroscience) concerned with the generation of natural speech. It summarizes the outcome of a six-year long priority program funded by the German Research Foundation (DFG) that aimed at bringing together colleagues with different viewpoints but sharing a principal interest in the cognitive processes underlying language production. The result is a state-of-the-art discussion of one of the most fascinating branches of human behavior taking into account a particularly rich multidisciplinary empirical data base.
The Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving. Each chapter provides a thoughtful integration of a body of work. - Includes computational models of human learning - Provides contributions from ten leading researchers in the field - Contains interdisciplinary perspectives on perceptual learning - Synthesizes research from psychology and computer science - Focuses on the specific mechanisms that drive perceptual learning
Research on discourse (or text) processing has only recently come into its own. It builds on the work of text analysis which has a long and distinguished history, but modern developments in psychology (e.g. memory research), artificial intelligence, linguistics and philosophy have contributed to this emergence in the last decade as a lively and promising research area.This book contains 46 selected and edited contributions from the International Symposium held in Fribourg in 1981, and represents a truly international overview of the developments in research on written and oral discourse. The contributions have been grouped according to problem area and not according to methodology, with the intention of focusing on the important issues in the field of discourse processing and of showing how diverse approaches contribute to a better understanding of the problems involved. The main themes are: text structure, coherence, inference, memory processes, attention and control, goal perspectives, and educational implications.
Learning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Learning spaces generalize partially ordered sets and are special cases of knowledge spaces. The various structures are investigated from the standpoints of combinatorial properties and stochastic processes. Leaning spaces have become the essential structures to be used in assessing students' competence of various topics. A practical example is offered by ALEKS, a Web-based, artificially intelligent assessment and learning system in mathematics and other scholarly fields. At the heart of ALEKS is an artificial intelligence engine that assesses each student individually and continously. The book is of interest to mathematically oriented readers in education, computer science, engineering, and combinatorics at research and graduate levels. Numerous examples and exercises are included, together with an extensive bibliography.
The objective of the series has always been to provide a forum in which leading contributors to an area can write about significant bodies of research in which they are involved. The operating procedure has been to invite contributions from interesting, active investigators, and then allow them essentially free rein to present their perspectives on important research problems. The result of such invitations over the past two decades has been collections of papers which consist of thoughtful integrations providing an overview of a particular scientific problem. The series has an excellent tradition of high quality papers and is widely read by researchers in cognitive and experimental psychology.
The Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditions to complex learning and problem solving. This guest-edited special volume is devoted to current research and discussion on associative versus cognitive accounts of learning. Written by major investigators in the field, topics include all aspects of causal learning in an open forum in which different approaches are brought together. - Up-to-date review of the literature - Discusses recent controversies - Presents major advances in understanding causal learning - Synthesizes contrasting approaches - Includes important empirical contributions - Written by leading researchers in the field
Memory and Society explores the social factors which influence human memory and our conceptualisation of memory. It examines the relationships between memory, society and culture and considers the relevance of theories of memory to real world issues. The opening section deals with the topic of autobiographical memory. It looks at the role of the self; how the self is shaped by society but also how it is the self which encodes and constructs memories. The Reconstructive nature of episodic memory is considered and how the present acts as the basis for remembering the past, with the rememberer's beliefs, desires and interpretations playing a central role. The middle section looks at the influen...