Agency as a structural distinction, not a moral category.
This track articulates a formal separation between agency, personality, and knowledge, and applies it symmetrically to human semantic systems and artificial systems.
Overview
It introduces a shared descriptive framework capable of modeling both humans and AI without collapsing structural differences into metaphor or psychological projection.
By separating agency (decision capacity), personality (continuity of self-structure), and knowledge (stored semantic configuration), the paper demonstrates that humans and artificial systems occupy fundamentally different positions within semantic computation.
From this asymmetry, architectural implications follow. Artificial systems are described not as subjects of decision, but as semantic infrastructure operating under externally supplied agency conditions.
Publication
Title: A Structural Comparison of Humans and AI as Semantic Computing Systems Based on the Separation of Agency, Personality, and Knowledge
Version: v1.0
Status: Public release
Access:
Position within the research structure
The Agency track follows the foundational articulation of semantic space (SVSS) and precedes the formal modeling of internal semantic dynamics.
It functions as a comparative layer: clarifying how semantic computation differs between biological and artificial carriers before further mathematical formalization is introduced.
This track does not argue for control, domination, or ethical positioning. It restricts itself to structural asymmetry.