PREVE: A Policy Recommendation Engine based on Vector Equilibria applied to reducing LeT's attacks

We consider the problem of dealing with the terrorist group Lashkar-e-Taiba (LeT), responsible for the 2008 Mumbai attacks, as a five-player game. However, as different experts vary in their assessment of players' payoffs in this game (and other games), we identify multi-payoff equilibria through a novel combination of vector payoffs and well-supported… CONTINUE READING