There is no fate, but there are structures to it
The architecture of the informational universe
The world is not predetermined, and no future event is fixed in advance. There is no fate in the classical sense — no script the universe is reading from, no destination it is required to reach.
But the future is not formless either. It has structure.
Physical laws, conservation principles, mathematical regularities, and the accumulated history of past states all impose constraints on what can come next. Out of the vast space of conceivable futures, only a narrow band is physically realizable. The universe does not decide outcomes in advance, but it does not permit just anything either. Possibility-space has architecture.
Covolution is the process by which information-processing entities — from molecules to organisms to minds — discover, exploit, and refine this architecture. Living systems compute their environments, predict probable paths through the constrained possibility-space, and select trajectories that maintain and expand their own existence. This is not the descent-with-modification of classical evolution. It is the construction and navigation of structured futures by entities that have become capable of modeling them.
Two principles follow:
Individual computation. Each information object processes its local environment, builds internal models, and selects among the paths its models reveal. The quality of its future depends on the quality of its prediction.
Networked computation. Information objects do not navigate alone. They form networks — symbiotic, ecological, social, cognitive — within which their predictions become coupled. Networked information objects discover paths that no individual could find.
The structure of the future is partly constructed by the networks that anticipate it.
The result is a universe in which fate is absent but structure is everywhere. Outcomes are not written, but they are not arbitrary. They are paradetermined: open in principle, severely constrained in practice, and progressively refined by the computational activity of the information objects that inhabit them.
There is no fate. But there are structures to it. Covolution is how life learns those structures and lives by them.
Example: a bacterial colony in a chemical gradient
Consider a colony of E. coli placed at the edge of a nutrient gradient. No bacterium knows where the nutrient is. No path is prescribed. The future of the colony is not written.
But the future is not arbitrary either. The diffusion field has a structure. Chemical signaling between cells has a structure. The metabolic state-space of each cell has a structure. Each bacterium computes — through receptor binding, internal signaling cascades, and flagellar rotation — a local prediction about which direction increases its chances. The colony, through quorum sensing and trail-following, computes a network-level estimate that no single cell possesses.
The colony does not reach the nutrient because it was fated to. It reaches the nutrient because it found a path through a constrained possibility-space by computing the structure of that space. A different trial, a different gradient, and the path would differ in detail. But it would not differ in kind. The structure permits a narrow band of trajectories, and the colony's computation locates one of them.
This is covolution at the simplest biological scale: information objects navigating paradetermined futures by computing structure.
See also
- Covolution
- Paradetermined / Paradeterminism
- Zeroth State Hypothesis (ZSH)
- Information objects
- Symvironment
- I₀ — Minimal distinguishability operator
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