Covolution

Covolution is the recursive process by which informationally encapsulated switching networks explore para-determined possibility spaces, retain information about differential persistence, internalize that information into predictive and evaluative machinery, and reconstruct the generative architecture that shapes subsequent possibilities.

Covolution proceeds through recursigenesis: retained outcomes reconstruct generative and evaluative architecture, producing recursimorphic causal organization across scales. When this reconstruction uses future-relevant retained information, the process is entelenomic; when that information is used to evaluate alternatives before downstream persistence testing, selection has become internalized

In each cycle, a system generates candidate states, evaluates some of them internally using retained information about previous outcomes, exposes realized candidates to downstream environmental or symvironmental tests, retains the discrepancy between predicted and realized persistence, and uses that information to modify its internal model, switching architecture, and future generative distribution.

Covolution therefore differs from ordinary evolutionary drift not because information must always increase, but because retained outcomes can recursively modify the machinery that generates, evaluates, and reconstructs future states. Over suitable timescales, this can produce increasing switching density, regulatory depth, and predictive control, although none of these is guaranteed in every lineage or environment.

Computation in Covolution does not imply consciousness or deliberate reasoning. It refers to the causal use of retained, future-relevant information to alter accessible future states through switching, prediction, internal evaluation, and action on the symvironment. A covolving system therefore does not merely undergo selection. It progressively embodies information about previous selection within its own generative and evaluative architecture.

Covolution permits downstream persistence information to be recursively internalized into upstream evaluative and generative architecture. Where predictive fidelity remains high and internal evaluation is cheaper than external failure, this can reduce the cost of adaptation. When fidelity falls, internalization can instead produce lock-in.

Covolution is derived from computed co-evolution. 

Covolution definition by Jong Bhak

Covolution is the propagation principle and mechanism of information entities (objects) that compute and predict their future directions in para-determined mathematical pathways/architecture of the universe.   

It is the exploration of information space by premeditated and precomputed actions. 

Covolution explores the energy and information landscape not blindly but systematically through computation. The computation here does not mean man-made computers. It means some mathematical and physical architecture.

For example, mutations occurring in a human genome is not random from the first place but under some equilibrium system. Also, the non-random randomness is also directed by the entity that generates, such as a genome, cell, tissue, or an organism.

Variation and selection are not random but can best be described as 'computed' or even 'conscious' (nformationally directed).

Covolution results in the condensation of information, while evolution does not necessarily does so.

The universe is building a computer

Life is found everywhere in the universe

See also
Infestruction

What is freedom?


Related links
Covolution.org 
Bioevolution.org