原文传递 MODELING LEARNING AND EVOLUTIONARY ADAPTATION PROCESSES IN ACTIVITY SETTINGS: THEORY AND NUMERICAL SIMULATIONS.
题名: MODELING LEARNING AND EVOLUTIONARY ADAPTATION PROCESSES IN ACTIVITY SETTINGS: THEORY AND NUMERICAL SIMULATIONS.
作者: Timmermans-H; Arentze-T; Joh-CH
关键词: Activity-choices; Adaptation-Psychology; Learning-; Mathematical-models; Numerical-simulations; Theory-; Travel-behavior
摘要: 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.
总页数: Transportation Research Record. 2000. (1718) pp27-33 (6 Fig., 5 Tab., 5 Ref.)
报告类型: 科技报告
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