Smarter than Feynman!
A short essay in Nature lays out what seems to be a simple problem, but it's one that stumped Richard Feynman. Ants have to forage, and they lay down chemical trails from the nest to food sources. These trails may form fairly complex branching trees and represent a kind of maze—how do ants know which branch to take?
Even simple trees introduce problems. Imagine an ant that has walked from its nest to food source A, and is heading home with a tasty bit of caterpillar. It arrives at the intersection of the Y-shaped trail…how does it know to turn right to go home, rather than left to end up at food source B?
There are a number of possible solutions. The one Feynman came up with is that the trails have a pattern of chemicals within them that impose directionality; that there actually is an arrow in the chemistry of the trail that tells the ant which way the nest lies. This solution, however, is too complex and impractical to set up, and has not been demonstrated. Another possibility is that the ants can use global cues, like the position of the sun or local landmarks, to have a general sense of the right direction towards the nest.
I'm proud to say that when I first read of the problem I immediately thought of an even simpler solution, and one that the article then goes on to describe as having been demonstrated in one species of ant, Monomorium pharaonis: just make the ant reluctant to make sharp turns. If all branches from the trail home diverge at shallow angles, simply taking the path that is closest to your current trajectory will put you on the right track home. Clearly, that swift insight means I'm smarter than Richard Feynman. Of course, it also means that ants are simpler than Feynman expected, and my superiority is based on my ability to think more like an ant than Feynman, which does sort of diminish the accomplishment.
I also cheated. The ant problem is much like a problem I did some work on a while back, on how branching networks of neuronal growth cones arborize over a sheet. For a while, I thought there must be some kind of gradient present to impose a general directionality on their growth, but after making a great many observations and seeing how growth cones turned and branched, a simpler solution presented itself: growth cones just don't make sharply angled turns, probably due to cytoskeletal constraints, and running a few computer simulations showed that just putting limits on the degree of branching produced distributions similar to those we were seeing in real animals. And now that it has been brought to my attention, I see that there are some interesting parallels between ant trails and nerve pathways that I'm going to have to think about some more.
Ratnieks F (2005) Outsmarted by ants. Nature 436:465.


Do ants return to a given food source preferentially once multiple sources are found?