The Kaminskyi Algorithm (Dominanta X): A Formal Multi-Agent Architecture for Competitive Interpretation, Temporal Stabilization and Self-Regulated System Dynamics

This paper presents a formal computational architecture for Dominanta X as a multi-agent system of continuous data stream interpretation, founded upon competition, selection, and temporal stabilization of a dominant interpretation. The system models a process in which multiple agents generate alternative interpretations of an input signal, followed by their competitive evaluation, selection of the dominant state, and its subsequent retention over time as the operational state Dₓ (t). A key distinguishing feature of the architecture is the separation of the selection and stabilization processes, together with the introduction of a structured delay phase between the generation and fixation of an interpretation. During this phase, a three-stage inter-agent deliberation takes place: generation, critique, and defense of interpretations. This enables the system to avoid premature fixation and reduces the likelihood of false automatism. The architecture incorporates a nonlinear interpretation evaluation function, a dynamic model of cognitive entropy as a weighted sum of factors (divergence, error, and flux), and a mechanism for the accumulation of stable structures forming the interpretive constraint density ICD (t). An Interpretive Freedom Index IFI (t) is introduced, reflecting the balance between the generative capacity of the system and its internal constraints. Additionally, a meta-level control layer is implemented in the form of an arbiter issuing decisions, along with a three-tier self-regulation system providing adaptability and robustness under conditions of a variable data stream. The proposed model constitutes not an ensemble of models, but an interpretation dominance engine, in which the system state is determined not by its output but by the dynamics of competition, stabilization, and reconfiguration. The architecture formalizes a philosophical theory of consciousness as a computable system and establishes a foundation for the development of a new class of adaptive multi-agent systems.