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Localist Connectionist Approaches To Human Cognition

Author: Jonathan Grainger
Publisher: Psychology Press
ISBN: 1134804024
Size: 28.49 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.

Unified Social Cognition

Author: Norman Anderson
Publisher: Psychology Press
ISBN: 1136871934
Size: 70.85 MB
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This eagerly awaited volume presents Anderson's cumulative progress in unified social psychology. The research is grounded in the three fundamental laws of information integration theory. Research shows these laws to apply to topics in social and personality psychology such as person cognition, attitudes, moral cognition, social development, group dynamics and self-cognition. This definitive work will broaden the appreciation of Anderson's unique treatment of psychological processes.

Recent Progress In Mathematical Psychology

Author: Cornelia E. Dowling
Publisher: Psychology Press
ISBN: 1317779339
Size: 67.88 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: 27.60 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).

Memory Language And Bilingualism

Author: Jeanette Altarriba
Publisher: Cambridge University Press
ISBN: 1107008905
Size: 47.38 MB
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A comprehensive and interdisciplinary approach to the study of memory, language and cognitive processing across various populations of bilingual speakers.

Measurement And Representation Of Sensations

Author: Hans Colonius
Publisher: Psychology Press
ISBN: 1136871780
Size: 13.69 MB
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Measurement and Representation of Sensations offers a glimpse into the most sophisticated current mathematical approaches to psychophysical problems. In this book, editors Hans Colonius and Ehtibar N. Dzhafarov, top scholars in the field, present a broad spectrum of innovative approaches and techniques to classical problems in psychophysics at different levels of stimulus complexity. The chapters emphasize rigorous mathematical constructions to define psychophysical concepts and relate them to observable phenomena. The techniques presented, both deterministic and probabilistic, are all original and recent. Subjects addressed throughout the six chapters of this volume include: *computing subjective distances from discriminability; *a new psychophysical theory of intensity judgments; *computing subjective distances from two discriminability functions; *an alternative to the model-building approach based on observable probabilities; and *possible forms of perceptual separability developed within a generalization of General Recognition Theory. Measurement and Representation of Sensations is a valuable text for both behavioral scientists and applied mathematicians.

Connectionist Models

Author: David S. Touretzky
Publisher: Morgan Kaufmann
ISBN: 1483214486
Size: 11.18 MB
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Connectionist Models contains the proceedings of the 1990 Connectionist Models Summer School held at the University of California at San Diego. The summer school provided a forum for students and faculty to assess the state of the art with regards to connectionist modeling. Topics covered range from theoretical analysis of networks to empirical investigations of learning algorithms; speech and image processing; cognitive psychology; computational neuroscience; and VLSI design. Comprised of 40 chapters, this book begins with an introduction to mean field, Boltzmann, and Hopfield networks, focusing on deterministic Boltzmann learning in networks with asymmetric connectivity; contrastive Hebbian learning in the continuous Hopfield model; and energy minimization and the satisfiability of propositional logic. Mean field networks that learn to discriminate temporally distorted strings are described. The next sections are devoted to reinforcement learning and genetic learning, along with temporal processing and modularity. Cognitive modeling and symbol processing as well as VLSI implementation are also discussed. This monograph will be of interest to both students and academicians concerned with connectionist modeling.

Semantic Cognition

Author: Timothy T. Rogers
Publisher: MIT Press
ISBN: 9780262182393
Size: 70.27 MB
Format: PDF
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A mechanistic theory of the representation and use of semantic knowledge that uses distributed connectionist networks as a starting point for a psychological theory of semantic cognition.

The Handbook Of Language Emergence

Author: Brian MacWhinney
Publisher: John Wiley & Sons
ISBN: 1118346092
Size: 25.34 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