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Localist Connectionist Approaches To Human Cognition

Author: Jonathan Grainger
Publisher: Psychology Press
ISBN: 1134804024
Size: 65.12 MB
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This volume provides an overview of a relatively neglected branch of connectionism known as localist connectionism. The singling out of localist connectionism is motivated by the fact that some critical modeling strategies have been more readily applied in the development and testing of localist as opposed to distributed connectionist models (models using distributed hidden-unit representations and trained with a particular learning algorithm, typically back-propagation). One major theme emerging from this book is that localist connectionism currently provides an interesting means of evolving from verbal-boxological models of human cognition to computer-implemented algorithmic models. The other central messages conveyed are that the highly delicate issue of model testing, evaluation, and selection must be taken seriously, and that model-builders of the localist connectionist family have already shown exemplary steps in this direction.

Psycholinguistics

Author: Werner Deutsch
Publisher: Walter de Gruyter
ISBN: 3110114240
Size: 69.47 MB
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This handbook focuses on new theoretical challenges associated with process-oriented psycholinguistics. Speech acts are embedded in situations that may vary in a multitude of parameters. Speech production and comprehension necessarily have to be both robust and flexible. Flexibility includes that speakers vary in speed, articulation, choice of words and interaction style, depending on specific context conditions. There is need of theoretical approaches that do not exclusively stick to ideals such as grammaticality and coherence - which collapse when confronted with irregularities - but are robust enough to deal with irregularities and disruptions. The handbook describes different methods of analyzing or reconstructing variants and options of language use. The articles contain transcriptions of spontaneous speech as well as experimentally verified studies. The same holds for simulation techniques modelling partial processes and evaluating their efficiency. There are no restrictions with respect to theoretical starting points - modelling of speech acts by neuronal networks as well as rule-based knowledge of representation are both covered in the book. The languages of publication are German and English.

Measurement With Persons

Author: Birgitta Berglund
Publisher: Psychology Press
ISBN: 1136723730
Size: 79.99 MB
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Measurements with persons are those in which human perception and interpretation are used for measuring complex, holistic quantities and qualities, which are perceived by the human brain and mind. Providing means for reproducible measurement of parameters such as pleasure and pain has important implications in evaluating all kind of products, services, and conditions. This book inaugurates a new era for this subject: a multi- and inter-disciplinary volume in which world-renowned scientists from the psychological, physical, biological, and social sciences reach a common understanding of measurement theory and methods. In the first section, generic theoretical and methodological issues are treated, including the conceptual basis of measurement in the various fields involved; the development of formal, representational, and probabilistic theories; the approach to experimentation; and the theories, models, and methods for multidimensional problems. In the second section, several implementation areas are presented, including sound, visual, skin, and odor perception, functional brain imagining, body language and emotions, and, finally, the use of measurements in decision making Measurement with Persons will appeal to a wide audience across a range of sciences, including general psychology and psychophysics, measurement theory, metrology and instrumentation, neurophysiology, engineering, biology, and chemistry.

Recent Progress In Mathematical Psychology

Author: Cornelia E. Dowling
Publisher: Psychology Press
ISBN: 1317779339
Size: 67.37 MB
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Mathematical psychology is an interdisciplinary area of research in which methods of mathematics, operations research, and computer science in psychology are used. Now more than thirty years old, the field has continued to grow rapidly and has taken on a life of its own. This volume summarizes recent progress in mathematical psychology as seen by some of the leading figures in the field as well as some of its leading young researchers. The papers presented in this volume reflect the most important current directions of research in mathematical psychology. They cover topics in measurement, decision and choice, psychophysics and psychometrics, knowledge representation, neural nets and learning models, and cognitive modeling. Some of the major ideas included are new applications of concepts of measurement theory to social phenomena, new directions in the theory of probabilistic choice, surprising results in nonlinear utility theory, applications of boolean methods in the theory of knowledge spaces, applications of neural net ideas to concept learning, developments in the theory of parallel processing models of response time, new results in inhibition theory, and new concepts about paired associate learning.

Researching The Self

Author: Ellen Grünewald
Publisher:
ISBN:
Size: 32.95 MB
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Researching the Self originated in a conference held at the University of Amsterdam in 2005, where scholars from various academic backgrounds presented their current theories and research. One central theme that emerged from the conference is the need for interdisciplinarity in the study of self. The present volume tries to meet this need, as it covers fields as diverse as psychology, anthropology, neuroscience, philosophy, sociology, and computer science. Additionally, the authors have contributed interdisciplinary reflections, in which they contemplate the other contributions to the present volume, and consider integrating this work with their own.- What are the neural correlates of self?- Can individuals have multiple selves?- How do selves depend on other people?- Will engineers ever construct artificial selves?- What is the problem of self we are trying to solve?- What does the future hold for the self?- Do selves really exist?"As I read the other entries in the current volume I was struck by the implications that the many different perspectives on the self had for each other" (Gillihan, this volume)."We must continue to keep in mind what we know, what we don't know, and what we only think we know in order to successfully conquer this interdisciplinary problem of the self" (Gorman and Keenan, this volume).

The Handbook Of Language Emergence

Author: Brian MacWhinney
Publisher: John Wiley & Sons
ISBN: 1118346092
Size: 29.38 MB
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This authoritative handbook explores the latest integrated theory for understanding human language, offering the most inclusive text yet published on the rapidly evolving emergentist paradigm. Brings together an international team of contributors, including the most prominent advocates of linguistic emergentism Focuses on the ways in which the learning, processing, and structure of language emerge from a competing set of cognitive, communicative, and biological constraints Examines forces on widely divergent timescales, from instantaneous neurolinguistic processing to historical changes and language evolution Addresses key theoretical, empirical, and methodological issues, making this handbook the most rigorous examination of emergentist linguistic theory ever

Connectionist Models Of Learning Development And Evolution

Author: Robert M. French
Publisher: Springer Science & Business Media
ISBN: 1447102819
Size: 61.25 MB
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Connectionist Models of Learning, Development and Evolution comprises a selection of papers presented at the Sixth Neural Computation and Psychology Workshop - the only international workshop devoted to connectionist models of psychological phenomena. With a main theme of neural network modelling in the areas of evolution, learning, and development, the papers are organized into six sections: The neural basis of cognition Development and category learning Implicit learning Social cognition Evolution Semantics Covering artificial intelligence, mathematics, psychology, neurobiology, and philosophy, it will be an invaluable reference work for researchers and students working on connectionist modelling in computer science and psychology, or in any area related to cognitive science.