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How to ThinkIn the Age of AI
Principlev1PR-629

Use typed relationships with semantic labels rather…

Use typed relationships with semantic labels rather than generic connections to reduce ambiguity and enable automated reasoning over knowledge structures.

Why This Is a Principle

This derives from Linguistic Structuring of Thought (language structures thought), Abstraction Necessarily Discards Information (abstraction retains selected relevant features), and Meaning as Receiver Construction (meaning constructed by receivers). The principle states that a link labeled 'causes' carries dramatically more information than 'related'—it eliminates 80-90% of ambiguity. It's prescriptive (label links with types), actionable (changes how you create connections), and grounded in information theory (typed labels reduce uncertainty) and the reality that explicit semantics enable both human and machine reasoning.