ANU-MACYB-public

Multi-Agent Systems

Overview

This section contains the evolving knowledge base for the multi-agent systems research stream. It links the seed corpus, the formal papers, and the public synthesis pages that together form the theory → computation → measurement stack.

Reading order

  1. Seed Corpus: Multi-Agent Systems Stack
  2. Paper A — Minimal Unified Theory of Observer-Grounded Collective Intelligence
  3. Paper B — Computation
  4. Paper C — Measurement

Core themes

Notes

The seed corpus is treated as a shared source layer. Each citation contributes across all layers rather than mapping one-to-one to theory, computation, or measurement. The papers then synthesize those shared seeds into distinct but connected research artifacts.