quote_increase_relative

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• The direction of information increase is relative to the observer or user of the computationclaim0.761
  Example: 3×5→15 is a natural computation, but 15→3×5 (prime factorization) is also useful, showing that the 'gain' depends on the choice of normal form.
• quote_useful_outputquote0.744
  Verbatim: 'Useful output has two aspects: Making information explicit—i.e. extracting the normal form. Data reduction—getting rid of a lot of the information in the input.'
• information increase in computationconcept0.730
  The puzzle that computation appears to gain information despite logical closure; resolved by relative to subsystems/observers.
• REINFORCEframework0.726
  Classical RL algorithm adapted by the paper with modifications including clipped-surrogate losses and length-normalized advantages for agentic training.
• quote_copycat_tautologyquote0.725
  Verbatim: 'the copy-cat strategy can be seen as a dynamic version of the tautology A ∨¬A.'
• Does information increase in computation?question0.723
  Fundamental puzzle motivating the paper: how can computation produce new information when output is logically implied by input and thermodynamics suggests information cannot increase?
• Information can increase in computation only relative to subsystems and observersclaim0.722
  The author argues that while total system information is conserved (thermodynamic), computation gains information for the observer by making implicit information explicit and discarding irrelevant data.
• Information flow and increase must be understood relative to subsystems and their interaction with environment.claim0.719