For example, I love how the human brain consists of layers from different evolutionary phases (like the mammalian and reptilian brains), which reminds me of seeing remnants of teletype code in modern macOS.
For example, I love how the human brain consists of layers from different evolutionary phases (like the mammalian and reptilian brains), which reminds me of seeing remnants of teletype code in modern macOS.
I see Systems Engineering analogies in a lot of complex natural systems. It’s a great model to understand how the world around you works, as long as you remember it’s only a model.
For example, I optimize my navigation around town sort of like the OSPF network routing protocol. I consider the speed limit & number of lanes to be analogous to the link cost, traffic lights as Layer 3 hops, and stop signs as Layer 2 hops. I consider the local highways to be my “backbone area” so navigation is optimized to find the shortest path from wherever I am to the nearest major highway. Sometimes the solution takes me a mile or two out of my way, but I’ll avoid 4 or 5 busy lights by taking a back road or cutting through a residential block.
In fact, the airline network is similarly structured: for a given carrier, routes among their hubs are their backbone area, and routes between regional airports in different regions connect through one or two hubs. As a traveler between two regional airports, you’re likely to fly to the hub closest to your destination and meet a second leg back out the the other airport. All to better if you just live near a hub.
Slime mold has been shown to be an excellent way to plan rail systems:
https://www.wired.com/2010/01/slime-mold-grows-network-just-like-tokyo-rail-system/