Construction of a Dynamic System for the Generalized Event Assignment Theory

Based on the author’s original Five-State Event Assignment Theory, this paper extends the theoretical framework and proposes the Generalized Event Assignment Theory, also named Dynamic Event Assignment Theory. Traditional state-based modeling adopts fixed dimensionality and static mapping, which cannot adapt to continuously evolving systems. To overcome this theoretical limitation, an adaptive-dimensional semantic modeling framework for events is established. Breaking the original constraint of fixed five states, the theory constructs dynamic assignment logic centered on continuously evolving events, with discrete state sets as mapping carriers. It enables standardized, quantifiable and encodable semantic representation of objective evolutionary processes. This paper only elaborates theoretical foundations, axiomatic definitions and core deduction framework; concrete engineering application scenarios are not involved. This is a purely self-derived theoretical work, no external theories are adopted or referenced.