MODELING LEARNING AND EVOLUTIONARY ADAPTATION PROCESSES IN ACTIVITY SETTINGS: THEORY AND NUMERICAL SIMULATIONS
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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0309066972
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Supplemental Notes:
- This paper appears in Transportation Research Record No. 1718, Activity Pattern Analysis and Exploration: Travel Behavior Analysis and Modeling.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Timmermans, H
- Arentze, T
- Joh, C H
- Publication Date: 2000
Language
- English
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 27-33
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Serial:
- Transportation Research Record
- Issue Number: 1718
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Activity choices; Adaptation (Psychology); Learning; Mathematical models; Theory; Travel behavior
- Uncontrolled Terms: Numerical simulations
- Subject Areas: Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 00800141
- Record Type: Publication
- ISBN: 0309066972
- Files: TRIS, TRB, ATRI
- Created Date: Oct 9 2000 12:00AM