claim
active
claim:making-information-explicit-extracting-normal-forms-from-computationMaking information explicit—extracting normal forms from computation.
Neighborhood — ranked by edge-count
Communities (3)
community
- Cross-scale frameworks linking spatial patterns, diagrams, and simplicity as expressions of care in design.
- Studies how information flow, increase, and explicitness emerge from computation relative to observers and subsystems, grounded in domain theory and order-theoretic formalism.
- Information increase and flow reframed as subsystem- and observer-dependent, not absolute thermodynamic quantities.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Author's proposed resolution to the information increase paradox: computation gains utility through extraction and filtering, not creation of logically new content.
- VPD is positioned as advancing a paradigm shift from top-down mechanistic interpretability (activation-based) to parameter-centric, data-driven discovery.
- Authors' core assertion that formal modeling of GUIs provides foundational benefits for language design and program verification.
- Fundamental puzzle motivating the paper: how can computation produce new information when output is logically implied by input and thermodynamics suggests information cannot increase?
- Open theoretical problem CIMC acknowledges: precisely characterizing the representational format of perception
- Property of denotative programming from Landin.