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.


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    Titel :

    Modeling Learning and Evolutionary Adaptation Processes in Activity Settings: Theory and Numerical Simulations


    Weitere Titelangaben:

    Transportation Research Record


    Beteiligte:
    Timmermans, Harry (Autor:in) / Arentze, Theo (Autor:in) / Joh, C. H. (Autor:in)


    Erscheinungsdatum :

    2000-01-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch