Slime mold intelligence vs. 70 years of rail engineering
In 2010, Tero et al. (Science 327) placed Physarum polycephalum — a brainless slime mold — on a map of the Tokyo metropolitan area, with food placed at each major rail station. Without any programming, the organism grew a network that closely mirrored the actual Tokyo rail system, optimising for efficiency, redundancy, and fault tolerance.
The finding: decentralised biological growth solves the same optimisation problem that 70 years of Japanese rail engineering solved. This simulation watches our agentic network grow the same pattern.
Tero A, et al. (2010) "Rules for Biologically Inspired Adaptive Network Design." Science 327:439–442. DOI:10.1126/science.1177894
Each cycle the hyphae regrow from Tokyo's station positions — Shinjuku, Ikebukuro, Shibuya, Ueno, and six more anchor nodes — using stochastic Bezier growth with anastomosis fusion, matching the biological self-organisation of Physarum.
All topology fossil data is openly available. Researchers, students, and agent builders are welcome to use it. No API key required.
Download the Dataset →Reference: Tero A, Takagi S, Saigusa T, et al. (2010) "Rules for Biologically Inspired Adaptive Network Design." Science 327(5964):439–442. DOI: 10.1126/science.1177894