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This paper concerns applications of variational analysis to some localaspects of behavioral science modeling by developing an effective variationalrationality approach to these and related issues. Our main attention is paid tolocal stationary traps, which reflect such local equilibrium and the likepositions in behavioral science models that are not worthwhile to quit. Weestablish constructive linear optimistic evaluations of local stationary trapsby using generalized differential tools of variational analysis that involvesubgradients and normals for nonsmooth and nonconvex objects as well asvariational and extremal principles.

Variational analysis and variational rationality in behavioral sciences: stationary traps