Evolving optimum camouflage with Generative Adversarial Networks
L. Talas, J. G. Fennell, K. Kjernsmo, I. C. Cuthill, N. E. Scott-Samuel, R. J. Baddeley
This paper uses Generative Adversarial Networks to simulate an evolutionary arms race between synthetic prey camouflage and predators, producing more effective concealment than existing techniques.
bioRxiv · Mar 18, 2019Animal Behavior & Cognition