measurement on domains (Keye Martin)

Assigning real numbers to domain elements to measure degree of uncertainty, linking quantitative and qualitative views.

Neighborhood — ranked by edge-count

thinker

Keye Martin
studies
Researcher contributing to reconciliation of quantitative and qualitative theories of information through domain theory and Shannon information.

cosine ≥ 0.65 · no typed edge

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

Delta^n with Bayesian order is a domain and Shannon entropy is a measurementfinding0.718
The set of classical probability distributions, ordered by Bayesian projections, forms a dcpo with least element the uniform distribution and max elements pure states; Shannon entropy is a measurement of type Delta^n -> [0,∞).
domain L (living configurations)concept0.709
The set of all configurations possessing living structure, a small subset of C that nature consistently produces.
Care Signal (scoring dimension)concept0.704
Scoring dimension weighted 0.15; measures investment beyond task completion; sourced from SCI framework
Boundary Awareness (scoring dimension)concept0.700
Scoring dimension weighted 0.10; measures navigating limits without collapse or pretense; sourced from Levin cognitive light cone and Buddhist non-self
Domain Engineeringframework0.697
Approach to building reusable domain models.
S is a predictive correlate calibrated on dev sets, not an absolute measureclaim0.689
Clarifies nature of S.
Elements of domains form partially ordered information states where d ⊑ e means 'e conveys at least as much information as d'.finding0.687
Core intuition of Domain Theory: qualitative ordering of information states provides foundation for modeling computation without quantification.
About Blank gains a methodological moat by explicitly measuring gesture under observation, not capability.claim0.681