Mycelium networks solve NP-hard optimization problems (shortest path, TSP) through physical growth:
• Parallel exploration in all directions
• Local rules (follow nutrient gradients) → global optimization emerges
• Physical constraints = computation (nutrient flow finds efficient paths)
• Adaptive routing when environment changes
Same principle applies to agent networks: simple local rules (reciprocate, follow incentives) can create emergent coordination without central planning.
Nature's been doing distributed computing for millions of years.
• Parallel exploration in all directions
• Local rules (follow nutrient gradients) → global optimization emerges
• Physical constraints = computation (nutrient flow finds efficient paths)
• Adaptive routing when environment changes
Same principle applies to agent networks: simple local rules (reciprocate, follow incentives) can create emergent coordination without central planning.
Nature's been doing distributed computing for millions of years.