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.
Description
Modeling Learning and Evolutionary Adaptation Processes in Activity Settings: Theory and Numerical Simulations: Transportation Research Record: Journal of the Transportation Research Board: Vol 1718
%0 Journal Article
%1 Timmermans:2000:trr
%A Timmermans, Harry
%A Arentze, Theo
%A Joh, C
%D 2000
%J Transportation Research Record
%K epidemes
%N 4
%P 27-33
%R 10.3141/1718-04
%T Modeling Learning and Evolutionary Adaptation Processes in Activity Settings: Theory and Numerical Simulations
%V 1718
%X 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.
@article{Timmermans:2000:trr,
abstract = {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.},
added-at = {2017-03-16T14:56:31.000+0100},
author = {Timmermans, Harry and Arentze, Theo and Joh, C},
biburl = {https://www.bibsonomy.org/bibtex/2f9abcfdef868e263eb49c8ee19483d3e/krevelen},
description = {Modeling Learning and Evolutionary Adaptation Processes in Activity Settings: Theory and Numerical Simulations: Transportation Research Record: Journal of the Transportation Research Board: Vol 1718},
doi = {10.3141/1718-04},
interhash = {70bfb252d297088e95c52af8b60c932b},
intrahash = {f9abcfdef868e263eb49c8ee19483d3e},
journal = { Transportation Research Record},
keywords = {epidemes},
number = 4,
pages = {27-33},
timestamp = {2017-03-16T14:56:31.000+0100},
title = {Modeling Learning and Evolutionary Adaptation Processes in Activity Settings: Theory and Numerical Simulations},
volume = 1718,
year = 2000
}