Poaching is one of the greatest threats in the conservation of wildlife, and even patrol rangers' extreme efforts are not enough to completely fend off poachers, especially in very large protected areas. "In most parks, ranger patrols are poorly planned, reactive rather than pro-active, and habitual," said Fei Fang, a Ph.D. candidate in the computer science department at the University of Southern California, in a statement. With these in mind, researchers, in collaboration with the National Science Foundation and the Army Research Office, have developed a new Artificial Intelligence (AI)-based application employing game theory to efficiently map out patrol routes and areas. According to the press release of National Science Foundation, game theory uses mathematical and computer models of conflict and cooperation between rational decision-makers to predict the behavior of adversaries and plan optimal approaches for containment. The application, dubbed "Protection Assistant for Wildlife Security" or PAWS, uses mathematical models to effectively analyze data from previous patrols and evidence of poaching.