EVΛƎ Framework — An Integrated Structural Architecture of Decision, Meaning, and Responsibility From Human Impulse to Irreversible Responsibility

Abstract EVΛƎ is an integrated structural decision architecture that unifies human-origin impulse (E), simulation of future possibilities (V), critical choice at a decision threshold (Λ), and irreversible observation (Ǝ) into a single, continuous decision-making structure. Within this architecture, meaning and responsibility are irreversibly fixed during the generative process of decision-making itself. This paper is presented as an Overview paper—specifically, a structural integration and indexing work—rather than as a proposal of a new theory. Its purpose is to systematically organize and integrate the previously published EVΛƎ module papers—E-ORIGIN, V-Echo, Λ-Turbulence, and Ǝ-Trace—and to re-position them as a single, coherent structural decision architecture. While existing approaches to explainable AI (XAI) and AI governance—both of which share a common structural deficiency regarding the fixation of responsibility—have achieved partial success in explaining decision outcomes, they have failed to address the more fundamental question of when and how responsibility should be fixed. This paper demonstrates that this limitation does not arise from insufficient technology or regulation, but from the absence of an appropriately designed decision-making process. The primary contributions of this paper can be summarized in three points: (1) the presentation of a unified framework describing a decision-making structure shared by both humans and AI under the EVΛƎ architecture; (2) the clarification of the structural conditions under which meaning and responsibility are determined during the generative process of decision-making, rather than post-hoc; and (3) the provision of a common reference architecture that bridges AI research, AI governance, and philosophical theories of responsibility. Taken together, these contributions position EVΛƎ as a reference architecture rather than a standalone theory.