Modeling learning and evolutionary adaptation processes in activity settings : theory and numerical simulations

publication year:2000
full reference:Timmermans, H.J.P., Arentze, T.A. and Joh, C.H. 2000. "Modeling learning and evolutionary adaptation processes in activity settings : theory and numerical simulations." Transportation Research Record. vol. 1718. 27-33.
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
more information:http://dx.doi.org/10.3141/1718-04
metis id:135423
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