Cognitive Breathing Network

Part of the Symbiotic Organ Hypothesis framework.

This directory contains a toy model visualizing Cognitive Fluidity (Ego-Dissolution and Re-Individuation) in a Multi-Agent System.

Status: The code merges and splits numerical nodes by construction. “Ego,” “Markov blanket,” and “hive mind” are visualization metaphors; the run does not model subjective experience or show that agent identities literally dissolve.

The Premise

The simulation asks how dynamically aggregating and separating agent state changes selected capacity and diversity proxies under a stipulated stress signal.

The Breathing Cycle

1. Aggregation: Above the chosen stress threshold, the script merges selected vectors and capacities into larger red nodes.
2. Separation: Below the threshold, the script splits those nodes and adds selected mutations. Diversity falls and recovers because these update rules were supplied; long aggregation is not proved to cause cognitive suicide.

Running the Simulation

Dependencies: numpy, matplotlib

python cognitive_breathing.py

What to Observe

• The Red Line (Stress): Represents environmental complexity. Watch for the sudden spikes.
• The Blue Line (Ego Count): The number of distinct agents. Notice how it drops sharply when stress spikes (agents merge to survive).
• The Green Line (Diversity): A proxy for systemic entropy. It drops during merging but recovers as the system "exhales" and agents mutate upon splitting.
• The Visualization: Blue dots are distinct individuals. Red dots are merged Hive Nodes. Black lines show the dense local network formed during crisis states.