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Variational Analysis in Psychological Modeling

Abstract : This paper develops some mathematical models arising in psychology and some other areas of behavioral sciences that are formalized via general preferences with variable ordering structures. Our considerations are based on the recent variational rationality approach, which unifies numerous theories in different branches of behavioral sciences using, in particular, worthwhile change and stay dynamics and variational traps. In the mathematical framework of this approach, we derive a new variational principle, which can be viewed as an extension of the Ekeland variational principle to the case of set-valued mappings on quasimetric spaces with cone-valued ordering variable structures. Such a general setting is proved to be appropriate for broad applications to the functioning of goal systems in psychology, which are developed in the paper. In this way, we give a certain answer to the following striking question: in the world, where all things change (preferences, motivations, resistances, etc.), where goal systems drive a lot of entwined course pursuits between means and ends, what can stay fixed for a while? The obtained mathematical results and new insights open the door to developing powerful models of adaptive behavior, which strongly depart from pure static general equilibrium models of the Walrasian type, which are typical in economics.
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https://hal-amu.archives-ouvertes.fr/hal-01474453
Contributor : Elisabeth Lhuillier <>
Submitted on : Wednesday, February 22, 2017 - 5:29:07 PM
Last modification on : Wednesday, August 5, 2020 - 3:17:30 AM

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Truong Q. Bao, Boris S. Mordukhovich, Antoine Soubeyran. Variational Analysis in Psychological Modeling. Journal of Optimization Theory and Applications, Springer Verlag, 2014, 164 (1), pp.290--315. ⟨10.1007/s10957-014-0569-8⟩. ⟨hal-01474453⟩

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