The Dynamic Causality Theory (DCLT)

This paper proposes the Dynamic Causality Theory (DCLT), a field-based ontological framework that reconceptualizes causation as a generative and rhythmic field-state rather than a relation between discrete events. Classical and modern causal theories have treated causation as a post hoc inferential structure that links observations along a temporal sequence. Such models cannot account for the conditions under which causal patterns emerge, stabilize, or dissolve. The DCLT explains how causal states operate across multiple scales, from neural synchrony to behavioral coordination, organizational adaptation, and governance dynamics. It also clarifies mechanisms of causal breakdown, including dissipation, misalignment, and phase collapse. While the paper does not develop a formal mathematical model, it outlines the conceptual foundations required for such development and identifies the DCLT as a foundational ontology for future work on causation, consciousness, and artificial quasi-conscious systems. The result is a unified generative account of causality that integrates field theory, systems thinking, and contemporary ontological inquiry.