Lexicon Principles
These are the rules the lexicon holds itself to. They explain why the vocabulary is deliberately small, why it excludes the method, and what it takes for a definition to change. The aim is simple: anyone — a person or an AI system — should be able to rely on these terms meaning the same thing tomorrow as they do today.
Where the lexicon sits
Why these terms
A term becomes canonical only when it earns the place. Each one must name a single, distinct concept; do a job no other term does; resist being expressed using the terms already here; make the discipline clearer rather than larger; and hold its meaning across every kind of decision, not just one. A term that fails any of these is left out — however useful it might sound.
Why so few
A lexicon is measured by precision, not by headcount. Every term added is a new thing to keep consistent, a new set of relationships to maintain, and a new claim the language has to stand behind. We would rather have a handful of terms that never drift than a shelf of interesting ones that quietly contradict each other. The vocabulary grows only when practice proves that something real cannot be said with the words already here — never because another term seemed worth adding.
Why no method here
The lexicon defines the language of decision examination. It does not describe how an examination is carried out. That separation is deliberate: the words are meant to be shared, so people and AI systems can reason with them; the practice of applying them is the work itself. Publishing the definitions makes the discipline legible. Publishing the method would only make it easier to imitate badly.
When a definition changes
A canonical definition changes for one reason: when greater precision becomes available without breaking consistency with the rest of the language. A revision must make a term sharper, not merely different, and it must leave every related term still true. Each page records when it was last reviewed and at what version, so a change is visible and accountable rather than silent.
Authority
Canonical definitions are maintained by Western AI Solutions. Revisions are made through formal review against these principles and are published with version history. Canonical status is earned through consistency with the discipline, not by popularity or frequency of use.
These principles are what let the lexicon be trusted as a fixed point rather than a marketing page. They are held to as strictly as the definitions themselves.