The development of a conceptual framework to build a model of multi-faceted choices underlying activity behavior is described. The conceptual framework views individuals developing stereotype behavior or scripts over time by learning. Various principles of learning as a function of state-dependent variables and as a function of latent behavior and adjustment principles are developed and formalized. The focus is on modeling long-term dynamics in activity choice heuristics. Theory, illustrated by a set of numerical experiments, is developed.
Modeling Learning and Evolutionary Adaptation Processes in Activity Settings: Theory and Numerical Simulations
Transportation Research Record
Transportation Research Record: Journal of the Transportation Research Board ; 1718 , 1 ; 27-33
2000-01-01
Article (Journal)
Electronic Resource
English
British Library Conference Proceedings | 2000
|Transportation Research Record | 2001
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