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Logo by Robin S. S. Kramer
Typically, complex adaptive system models are applied to natural phenomena, such as the pattern of stripes on zebras or seeds on sunflowers. Our research goal is to apply these models to understanding on individual people learn and perceive, and how groups of people organize themselves into emergent structures which none of the individuals in the group may understand or even perceive. Our laboratory is currently exploring interactions between perceptual and conceptual learning, methods for learning abstract concepts using computer simulations, the perception of similarity and analogy, and group behavior from a complex systems perspective. Our typical modus operandi is to simultaneously conduct psychological experiments on humans and develop computational models of the observed behavior. The results from the experiments help to constrain and inform our computational models, and the computational models serve to organize and explain our empirical results.
Research is generously supported by:
|The National Science Foundation, Research on Learning and Education program|
|The Department of Education, Institute of Education Sciences|