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Title: MODELING LEARNING AND EVOLUTIONARY ADAPTATION PROCESSES IN ACTIVITY SETTINGS: THEORY AND NUMERICAL SIMULATIONS
Accession Number: 00800141
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available 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.
Supplemental Notes: This paper appears in Transportation Research Record No. 1718, Activity Pattern Analysis and Exploration: Travel Behavior Analysis and Modeling.
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Timmermans, HArentze, TJoh, C HPagination: p. 27-33
Publication Date: 2000
Serial: ISBN: 0309066972
Features: Figures
(6)
; References
(5)
; Tables
(5)
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning
Files: TRIS, TRB, ATRI
Created Date: Oct 9 2000 12:00AM
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