# Concept ## Summary Self-governing systems maintain, adapt, and restructure themselves without explicit external control, often using feedback, embeddings, or emergent behavior. ## Definition A self-governing system is one in which structural decisions—like categorization, clustering, and connection—are performed internally rather than imposed from outside. These systems are often adaptive, using patterns derived from data (e.g. embeddings in language models, feedback loops in ecosystems) to maintain coherence, relevance, and function. Crucially, they resist becoming static; they “learn” or “adjust” from use or context. ## Properties - Minimal or no manual intervention for structure maintenance - Emergent patterns from data, interaction, or internal logic - Feedback-driven adaptation over time - Often probabilistic or fuzzy rather than rule-based - Harder to audit but often more scalable ## Related Ideas - Adaptive Systems - Embeddings & Vector Spaces - Cybernetics - Knowledge Gardening - Human-in-the-loop AI