New Handbook of Mathematical Psychology: Volume 2, Modeling and Measurement
Published on 27. September 2018
Book
Hardback
474 pages
978-1-107-02907-1 (ISBN)
Description
The field of mathematical psychology began in the 1950s and includes both psychological theorizing, in which mathematics plays a key role, and applied mathematics motivated by substantive problems in psychology. Central to its success was the publication of the first Handbook of Mathematical Psychology in the 1960s. The psychological sciences have since expanded to include new areas of research, and significant advances have been made in both traditional psychological domains and in the applications of the computational sciences to psychology. Upholding the rigor of the original Handbook, the New Handbook of Mathematical Psychology reflects the current state of the field by exploring the mathematical and computational foundations of new developments over the last half-century. The second volume focuses on areas of mathematics that are used in constructing models of cognitive phenomena and decision making, and on the role of measurement in psychology.
Reviews / Votes
'This Handbook contains review articles by leaders of the field. It will be a valuable reference for all who are interested in mathematical psychology.' Brian Skyrms, University of California, Irvine 'This volume is the second in a series devoted to presenting a very readable, yet broad and deep, up-to-date perspective on mathematical psychology. It will be of interest to graduate students and experienced researchers who are concerned with modeling and measurement in the psychological and cognitive sciences.' Thomas S. Wallsten, University of Maryland 'These two volumes are a valuable contribution to mathematical psychology; partly representing important summaries of special branches, partly pushing the forefront of research towards new horizons. They should be read by all working in special fields, but also by students who are striving for a general point of view. We are looking forward to the third volume.' Reinhard Suck, Journal of Mathematical PsychologyMore details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 255 mm
Width: 182 mm
Thickness: 27 mm
Weight
1076 gr
ISBN-13
978-1-107-02907-1 (9781107029071)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
William H. Batchelder | Hans Colonius | Ehtibar N. Dzhafarov
New Handbook of Mathematical Psychology: Volume 2, Modeling and Measurement
Book
06/2021
Cambridge University Press
€68.00
Shipment within 15-20 days
William H. Batchelder
New Handbook of Mathematical Psychology: Volume 2, Modeling and Measurement
E-Book
09/2018
Cambridge University Press
€44.49
Available for download
William H. Batchelder | Hans Colonius | Ehtibar N. Dzhafarov
New Handbook of Mathematical Psychology: Volume 2, Modeling and Measurement
E-Book
09/2018
Cambridge University Press
€172.99
Available for download
Persons
William H. Batchelder is Professor of Cognitive Sciences at the University of California, Irvine. Hans Colonius is Professor of Psychology at Carl V. Ossietzky Universitaet Oldenburg, Germany. Ehtibar N. Dzhafarov is Professor of Psychological Sciences at Purdue University, Indiana.
Content
1. Stochastic methods for modeling decision making Adele Diederich and Keivan Mallahi-kara; 2. The diffusion model of speeded choice, from a rational perspective Matt Jones; 3. Stochastic foundations of elementary mental architectures Joseph W. Haupt, James T. Townsend and Brett Jefferson; 4. Identifiability of probabilistic models, with examples from knowledge structure theory Jean-Paul Doignon, Jurgen Heller and Luca Stefanutti; 5. Quantum models of cognition and decision Jerome R. Busemeyer and Peter D. Kvam; 6. Computational cognitive neuroscience F. Gregory Ashby; 7. Discovering aggregation properties via voting Donald G. Saari; 8. Categorization based on similarity and features: the Reproducing Kernel Banach Space (RKBS) approach Jun Zhang and Haizhang Zhang; 9. The axiom of meaningfulness in science and geometry Jean-Claude Falmagne, Louis Narens and Christopher Doble.