Study integrates decision theory in agentic AI systems, suggesting advanced safety and ethical frameworks.
This paper presents EDA∞, a mathematically closed, control complete, and irreducible event driven agentic architecture. The framework unifies observation, belief formation, epistemic propagation, decision making, validation, risk policy, safety projection, and governance logging into a single coherent system. Unlike traditional agentic frameworks that rely on heuristics, layered filters, or implicit authority structures, EDA∞ operates on belief grounded uncertainty, probabilistic validation, policy gated authority, and projection based safety enforcement. The architecture guarantees forward invariance of a composite safety kernel, global Lyapunov stability, and bounded auditability under stochastic conditions. This paper integrates the full technical reference model for event-driven agentic systems, including semantic preprocessing (DAIS-10), streaming coordination, multi-agent invariance, and epistemic integrity constraints. The resulting system is the minimal, viable architecture for safe, auditable, and deployable agentic AI. At the end Irreversibility Constrained Decision Theory (ICDT) is integrated to establish ethical boundaries for authority allocation in irreversible decision domains.
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Usman Zafar (2026) studied this question.
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