Contributions to Mathematical Psychology, Psychometrics, and Methodology

1. Front Matter

   Pages i-ix

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2. Perception, Learning, and Cognition

   1. Front Matter

      Pages 1-1

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   2. Metrics in Color Spaces: Im Kleinen und im Großen

      • Tarow Indow

      Pages 3-17

   3. Color Similarity Represented as a Metric of Color Space

      • Jan Drösler

      Pages 19-37

   4. The Gravity Lens Illusion and its Mathematical Model

      • Seiichiro Naito, James B. Cole

      Pages 39-50

   5. Analysis of a Model for Source Monitoring

      • William H. Batchelder, Xiangen Hu, David M. Riefer

      Pages 51-65

   6. Feature Representations in Connectionist Systems

      • John Bankart, Philip T. Smith, Mark Bishop, Paul Minchinton

      Pages 67-74

   7. Finite Markov Learning Models for Knowledge Structures

      • Jean-Claude Falmagne

      Pages 75-89

   8. Stochastic Learning Paths — Estimation and Simulation

      • J.-Cl. Falmagne, K. Lakshminarayan

      Pages 91-110

   9. Knowledge Spaces and Skill Assignments

      • Jean-Paul Doignon

      Pages 111-121

   10. Construction of Knowledge Spaces for Problem Solving in Chess

       • Dietrich Albert, Martin Schrepp, Theo Held

       Pages 123-135

   11. The Construction of Knowledge Spaces by Querying Experts

       • Mathieu Koppen

       Pages 137-147

   12. Integrating Different Knowledge Spaces

       • Cornelia E. Dowling

       Pages 149-158

   13. Abstract Decomposition of Spelling Errors

       • Anton J. Smolenaars

       Pages 159-169

3. Choice and Reaction Time

   1. Front Matter

      Pages 171-171

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   2. From Binary Choices to Random Utility Representations

      • Reinhard Suck

      Pages 173-184

   3. Collective Choice Probabilities

      • Ákos Münnich

      Pages 185-194

   4. Random Walk Models of Digit Comparison: Some Problems and a Solution

      • Wolfgang Schwarz

      Pages 195-205

   5. A Diffusion Model For Intersensory Facilitation of Reaction Time

      • Adele Diederich

      Pages 207-220

4. Social Systems

   1. Front Matter

      Pages 221-221

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Contributions to Mathematical Psychology, Psycho§ metrics and Methodology presents the most esteemed research findings of the 22nd European Mathematical Psychology Group meeting in Vienna, Austria, September 1991. The selection of work appearing in this volume contains not only contributions to mathematical psychology in the narrow sense, but also work in psychometrics and methodology, with the common element of all contributions being their attempt to deal with scientific problems in psychology with rigorous mathematics reasoning. The book contains 28 chapters divided into five parts: Perception, Learning, and Cognition; Choice and Reaction Time; Social Systems; Measurement and Psychometrics; and Methodology. It is of interest to all mathematical psychologists, educational psychologists, and graduate students in these areas.

• cognition
• learning
• mathematical psychology
• methodology
• perception
• psychology
• psychometrics

• Department of Psychology, University of Vienna, Vienna, Austria

  Gerhard H. Fischer

• Department of Experimental Psychology, Cambridge University, Cambridge, England

  Donald Laming

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