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.

The Premise

In standard Multi-Agent Systems, agents have fixed boundaries (Markov Blankets). They communicate but do not fundamentally merge. This simulation explores what happens when we allow agents to dynamically dissolve their ego-boundaries based on the thermodynamic stress of the environment.

The Breathing Cycle

1. Inhalation (Integration/Merging): When environmental complexity spikes (e.g., a "Black Swan" event), the capacity of individual agents is insufficient. The network undergoes ego-dissolution. Agents merge their identity vectors and capacities, forming larger, red "Hive Mind" nodes to pool cognitive resources.
2. Exhalation (Differentiation/Splitting): Once the complexity drops, the network must exhale. If agents remain merged indefinitely, the system suffers "cognitive suicide" (homogenization/zero entropy). The simulation forces merged nodes to split back into individual blue agents, introducing slight mutations to restore systemic diversity.

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.