A Dynamic Evaluative Model of Motivation: Symbolic–Functional Reweighting and Constraint-Based Selection

This article develops a quasi-formal dynamic model of motivation that departs from hierarchical and stage-based accounts. Instead of representing motivation as progression through ordered needs, the proposed framework conceptualizes it as a process of continuous evaluation within a field of competing objects. At the core of the model is a unified evaluative structure in which each object is assessed in terms of four co-present components: symbolic value, functional return, symbolic constraints, and functional constraints. Behavioral selection emerges from comparative evaluation across alternatives, rather than from transitions between predefined levels. Motivational dynamics are governed by context-sensitive reweighting and threshold-dependent transitions. Changes in behavior do not follow directly from variations in inputs, but occur when differences in net motivational value exceed a context-dependent sensitivity boundary, producing nonlinear and discontinuous patterns of change. Within this structure, motivational change is driven by shifts in weighting parameters and constraint dynamics. The framework generates empirically testable predictions, including threshold-driven behavioral transitions, sensitivity to symbolic amplification, and systematic modulation of choice under varying symbolic and functional constraint conditions. By formalizing symbolic–functional interaction within a unified evaluative architecture, the model provides a structurally grounded alternative to hierarchical theories of motivation. This approach establishes a foundation for empirical investigation, computational modeling, and cross-domain applications in decision-making, collective behavior, and cognitive-neural systems.