Applying fingerprint multilateration to population dynamics in Prisoner´s Dilemma simulations

By combining two techniques: fingerprinting, which turns a game-playing strategy into a representation-independent functional summary of its behaviour, and multilateration, which finds the location of a point in space using measured distances to a known set of anchor points, we develop a tool for automatically analyzing evolved Prisoner´s Dilemma agents. Using as anchor points the space of all deterministic 2-state transducers, we can place arbitrary strategies into 7-dimensional real space by numerical integration and solving linear equations, which is fast enough to be usable online. We present several proof-of-concept visualizations, including individual strategies in populations, and population trajectories over time, which are now accessible.