Shortest Path Solvers. From Software To Wetware Apr 2026
In the realm of software, shortest-path problems are the backbone of modern infrastructure. Algorithms like or A * function through rigorous, iterative logic. They treat the world as a graph of nodes and edges, assigning weights (like distance or traffic) to every possible move.
"Wetware"—the biological systems of living organisms—approaches the same problem through the lens of physics and chemistry rather than code. The most famous example is the , a bright yellow slime mold. Shortest Path Solvers. From Software to Wetware
Similarly, ant colonies use to solve pathfinding. While a single ant might wander aimlessly, the collective "algorithm" of the colony reinforces the shortest path through chemical feedback loops. Unlike software, wetware is self-healing; if a path is blocked, the biological system re-optimizes in real-time without needing a programmer to update the map. The Convergence: Neuromorphic Computing In the realm of software, shortest-path problems are

