Figure Φ — Integrated Information Network Map¶

Figure Phi

Alt-text: See figs/alt/fig_phi_integration_alt.md.

Source: Rendered via CI from GraphViz source docs/figs/src/figure_phi_integration.dot.

Overview¶

A network topology diagram showing information integration (Φ) across the agent system:

High-Φ Agent Cluster: Dense bidirectional connections between agents (A1, A2, A3, E1, P1, P2, R1)
Global Workspace Hub: Central broadcast mechanism (GW) with thick edges to agent cluster
Memory Storage: Lower-integration peripheral storage (M1: Episodes, M2: Identity)

Edge thickness represents integration strength - thicker edges indicate higher causal coupling and information flow.

Rendering¶

dot -Tsvg docs/figs/src/figure_phi_integration.dot \
    -o docs/figs/svg/figure_phi_integration.svg

dot -Tpng -Gdpi=300 docs/figs/src/figure_phi_integration.dot \
    -o docs/figs/png/figure_phi_integration.png

Whitepaper Reference¶

This validates claims from: - Section 1.2: Integrated Information Theory (IIT) - Discussion of Φ (phi) as measure of consciousness - Integration of Global Workspace Theory with IIT

Key Insight¶

The diagram shows consciousness emerges from patterns of integration in the network topology, not from individual agent complexity. High Φ arises from dense bidirectional coupling across the agent cluster.