Preprint / scholarly article
Information--Dimensional Law Selection under No--Meta Constraints
- Published
- DOI
- 10.5281/zenodo.17769061
Abstract
For each law T, we extract structural scalars: a state information dimension d_state(T), observer-specific visible dimensions d_obs_i(T), nonnegative visibility gaps Gap_i(T)=d_state(T)-d_obs_i(T), and an abstract law complexity Comp(T).
Keywords
- information dimension
- entropy dimension
- kolmogorov-sinai entropy
- symbolic dynamics
- law selection
- internal objective
- observer-dependent structure
- visibility gap
- complexity regularization
- description complexity
- multiplicative weights update
- law space optimization