New Handbook of Mathematical Psychology: Volume 2, Modeling and Measurement
eBook - PDF

New Handbook of Mathematical Psychology: Volume 2, Modeling and Measurement

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

New Handbook of Mathematical Psychology: Volume 2, Modeling and Measurement

About this book

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.

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Yes, you can access New Handbook of Mathematical Psychology: Volume 2, Modeling and Measurement by William H. Batchelder,Hans Colonius,Ehtibar N. Dzhafarov in PDF and/or ePUB format, as well as other popular books in Psychology & Research & Methodology in Psychology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title page
  3. Title page
  4. Copyright page
  5. Contents
  6. List of contributors
  7. List of abbreviations
  8. Preface
  9. 1 Stochastic Methods for Modeling Decision-making
  10. 2 The Diffusion Model of Speeded Choice, from a Rational Perspective
  11. 3 Stochastic Foundations of Elementary Mental Architectures
  12. 4 Identifiability of Probabilistic Models, with Examples from Knowledge Structure Theory
  13. 5 Quantum Models of Cognition and Decision
  14. 6 Computational Cognitive Neuroscience
  15. 7 Discovering Aggregation Properties via Voting
  16. 8 Categorization Based on Similarity and Features: The Reproducing Kernel Banach Space (RKBS) Approach
  17. 9 The Axiom of Meaningfulness in Science and Geometry
  18. Index