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Modeling learning and evolutionary adaptation processes in activity settings : Theory and numerical simulations Timmermans, Harry ; Arentze, Theo ; Joh, CH

By: Contributor(s): Publication details: Transportation Research Record, 2000Description: nr 1718, s. 27-33Subject(s): Bibl.nr: VTI P8167:1718Location: Abstract: The development of a conceptual framework to build a model of multifaceted 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.
Item type: Reports, conferences, monographs
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The development of a conceptual framework to build a model of multifaceted 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.