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Mathematical Behavioral Science
Quantitative Modeling, Measurement, Decision and Choice

Faculty:
William Batchelder
Michael D'Zmura
Barbara Dosher

Jean-Claude Falmagne
Donald Hoffman
Geoffrey Iverson
Michael D. Lee
** R. Duncan Luce
Louis Narens
** George Sperling
Ramesh Srinivasan
Mark Steyvers
Charles E. (Ted) Wright
John. I. Yellott, Jr.


Affiliated Faculty:
A. Kimball Romney




** Member: National Academy of Sciences
UCI is an internationally recognized center for research on mathematical models in the behavioral and social sciences. Through the Institute for Mathematical Behavioral Sciences (IMBS), a Ph.D. program in Mathematical Behavioral Sciences is offered for students who are particularly strong in mathematics, and an M.A. program is offered for those who wish to minor in this area to complement another program concentration. A substantial fraction of the Cognitive Sciences faculty are involved in this program and mathematical behavioral science is an emphasis within the doctoral program in Psychology.

Quantitative Modeling
This area involves primarily the development of new probabilistic models of data structures. Current faculty research programs investigate: multinomial models, designed as an alternative to ANOVA for analyzing data from many classes of cognitive experiments; knowledge spaces, designed to obtain a better understanding of the degree to which students have mastered a branch of knowledge such as algebra or geometry; mathematical models in perception, including research on the geometric nature of color space and computational models of visual motion perception and attention; multinomial processing tree models including discrete state information processing models for experimental paradigms in cognitive psychology, especially in the area of human memory.

Measurement
Measurement refers, in practice, to two related activities. One is the development of methods, including those noted under Quantitative Modeling, for organizing data according to some numerical or geometric model. The other topic concerns qualitative conditions on data that allow them to be represented in some numerical or geometric structure. The methods of representational measurement are, primarily, those of abstract algebra. Current faculty research programs investigate: cultural consensus theory, an information pooling model for aggregating responses from informants.

Decision and Choice
The area of individual decision making is studied by several disciplines including psychology, management science, and economics. The primary mathematical methods are special cases of the quantitative and measurement methods, and these are tested empirically in both laboratory experiments and observational studies. Exemplary topics include the stochastic evolution of preferences.


Cognition and Information Processing Cognitive Neuroscience Developmental Psychology
Health Psychology Mathematical Behavioral Science Perception and Action
Psychopathology/Behavioral Disorder Social/Personality Psychology

Cognitive Sciences
Psychology & Social Behavior
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