Finite systems do not operate under complete information, unlimited processing capacity, or stably pre-given decision spaces. They face open possibility spaces in which several continuations are conceivable, without any one of them being fully determined, probabilistically calculable, or formally derivable. This paper develops the concept of contingency mechanics for this situation: the dynamic operational logic through which finite systems transform open possibility into viable continuation. The core of the model is: variation → e-profile → e₀-proximate stabilization → immanentization → latent e → actualization → friction/reorganization. e-profiles designate the system-relative stabilization tensions of an order; e₀ designates the range in which ordering gain, stabilization costs, revisability, and processing form enter into a viable relation. The paper distinguishes generative, selective, latent, and actualized e and thereby describes stabilization as a life-cycle phenomenon: an order emerges, competes with alternatives, recedes into the background, and can later become processable again through focus, context, or friction. Contingency mechanics is not an ontology of the world in itself. Its claim to generality rests on the fact that every world accessible to a finite system appears as a reconstructed and stabilized order. Within such orders, e is quasi-real: not as a world-absolute substance, but as real stabilization tension. The paper demonstrates the four states of e through a historically oriented model shift, distinguishes contingency mechanics from Active Inference, free-energy approaches, and Peirce’s abduction, identifies conditions of falsification, and sketches a path of operationalization for LLM systems.
Stefan Rapp (Wed,) studied this question.