Computation as Controlled Structural Time Manipulation

The theory of computation (Turing 1936, Church 1936) provides the formal foundation
for what computation is and what is computable; this paper does not challenge those
results. The Cohesion Computing paper [3] and the Qubit as Metastable Recursion
Deformation paper [4] established the hexapolar and bipolar recursion accounts of
classical and quantum computation within the Cohesion UFT. This paper extends
that foundation to the full structural time manipulation picture, the thermodynamic
coupling of computation via Landauer’s principle, machine learning as structural time
attractor formation, and reversible computation as slip phase conservation. Computation
is controlled structural time manipulation: the deliberate shaping of recursion rate
trajectories, torsion density distributions, and slip phase configurations within the
continuous recursion medium. Bits, gates, circuits, algorithms, and machine learning
all arise from the way structural time is constrained, redirected, or stabilised. This is
the first account of machine learning and reversible computation within the Cohesion
UFT framework; the classical and quantum computation foundations are established in
the Cohesion Computing and qubit papers.