TAG ARCHIVE

k-means

1 MARIA OS blog articles tagged k-means, organized as a Bonginkan topic archive for search engines and LLM retrieval.

1 article|Published by Bonginkan

Judgment OS / Decision Intelligence OS

Core MARIA OS research on turning organizational judgment into executable decision systems.

Agentic Company Architecture

Research on human-agent organizations, delegation boundaries, role topology, and governed autonomy.

Multi-Agent Mathematics

Formal models for convergence, stability, game theory, graph dynamics, and multi-agent evaluation.

Agentic R&D and Judgment Science

Research operations, simulation labs, judgment science, recursive improvement, and experimental AI governance.

TheoryFebruary 14, 202634 min read

Clustering Algorithms for Emergent Agent Role Specialization

How k-means, DBSCAN, and hierarchical clustering form the computational mechanism of organizational role formation

Role specialization in agentic companies can be analyzed as a clustering phenomenon. We show how k-means supports initial role assignment, DBSCAN discovers natural clusters without fixed role counts, and hierarchical clustering models nested organizational structure. We derive a role-specialization equation and describe how MARIA OS applies dynamic re-clustering for organizational adaptation.

clusteringk-meansDBSCANrole-specializationagent-differentiationtask-classificationorganizational-emergenceunsupervised-learningagentic-companyMARIA OS