This article proposes a theoretical model of human interpretative productivity within the ICE–Dominanta X framework by formalizing the temporal rate of interpretation and the throughput of cognition. The study addresses a gap in contemporary cognitive science: although existing models explain how hypotheses are generated and updated, they less frequently formalize how rapidly consciousness stabilizes interpretations into explicit units of meaning. Within the proposed framework, interpretation is defined as a cognitive operation in which one hypothesis within an interpretative space becomes temporally stabilized and functionally operative. On this basis, the article introduces the concept of the unit of interpretation as the minimal completed event of meaning stabilization. The distinction between implicit and explicit interpretation is then used to describe cognition as a two-level process: rapid parallel generation and evaluation of hypotheses at the implicit level, followed by sequential stabilization at the explicit level. Building on this structure, the article defines Interpretation Rate (IR) as the number of interpretative units stabilized per unit of time and links this parameter to neurodynamic constraints identified in cognitive neuroscience. The model further introduces the Interpretative Freedom Index (IFI), defined through interpretative capacity (IC), interpretative openness (IO), and interpretative constraint density (ICD). The integration of temporal and structural parameters yields the concept of Cognitive Throughput (CT), formalized as CT = IR × IFI, and Human Interpretative Productivity (HIP), formalized as HIP = IR × IC × IO × (1 − ICD). The article also conceptualizes knowledge as the cumulative structure of stabilized interpretative units and introduces the Knowledge Production Rate (KPR) as a dynamic parameter describing the rate of cognitive development. In addition, the model is extended from the individual to the social level, where differences in interpretative throughput are shown to influence collective knowledge formation, adaptability, and innovation. The proposed framework integrates neuroscience, philosophy of mind, and the broader theoretical architecture of ICE, Dominanta X, and HUMP. It offers a quasi-formal model of cognition understood not merely as information processing, but as temporally constrained interpretative production shaped by the structure of the interpretative space.
Igor Kaminskyi (Sun,) studied this question.