July 29, 2017
Langton's ant, named after its discoverer Chris Langton, is a 2-dimensional Turing machine with 2 symbols and 4 states. It consists of a grid of cells along with an ant that is located on one of these cells and faces one of the four cardinal directions.
In each step, the ant moves according to the following rules:
Since the ant switches between horizontal and vertical orientations at each step, the cells of the grid split up in a checkerboard pattern into two sets: those cells which are always entered vertically (exited horizontally), and those cells which are always entered horizontally (exited vertically).
It has been proven that the ant's trajectory is unbounded regardless of the initial configuration. The proof is as follows:3
It is easy to check that the Theory of Everything for Langton’s Ant is time-reversible. That is, the current pattern and heading determines the past uniquely as well as the future. Any bounded trajectory must eventually repeat the same pattern, position, and heading; and by reversibility such a trajectory must be periodic, repeating the same motions indefinitely. Thus every cell that is visited must be visited infinitely often.
The ant’s motion is alternately horizontal and vertical, because its direction changes by ±90° at each step. Call a cell an H-cell if it is entered horizontally, and a V-cell if it is entered vertically. The H- and V-cells tile the grid like the black and white squares of a checkerboard.
Select a square M that is visited by the ant, and is as far up and to the right as possible, in the sense that the cells immediately above and to the right of it have never been visited. Suppose this is an H-cell. Then M must have been entered from the left and exited downward, and hence must have been white. But M now turns black, so that on the next visit the ant exits upwards, thereby visiting a square that has never been visited. A similar problem arises if M is a V-cell. This contradiction proves that no bounded trajectory exists.
It has also been proven that, for any initial configuration, the set of cells that are visited infinitely often has no corners. A corner of a set is a cell where at least two neighbors are not in the set, and these are not opposite to each other.4
It has been proven that ant's trajectory can calculate any boolean circuit, proving the system is P-hard.1 With an infinitely repeating initial configuration, the ant can simulate cellular automata and is thus computationally universal.
Despite the simplicity of its rules, the ant exhibits complex emergent behavior. There are many open problems regarding this behavior. Here are two examples which seem to hold for any finite initial configuration:
The third conjecture implies the first two. These conjectures have held for all finite initial configurations tested so far, but they remain unproven.
The behavior of ants with a different set of rules has also been studied.2
The mouse controls are as follows:
|Double tap||Toggle cell|
— Carlos G. Martin; edited by Lucas Schuermann
Last updated May 16, 2020