Candy Crush Saga is one of the biggest mobile games today with more than 1000 levels of difficulty—and users continue to ask for more. When building new content, it is extremely important to ensure that the level of difficulty is balanced and that the user does not experience crashes or problems through some unforeseen level of play. Alexander Andelkovic shows you how King is training artificial intelligence (AI) programs (bots) to test its games by mimicking human interactions. Join Alexander as he discusses how King is taking testing to the next level by employing Monte Carlo Tree Search, automatic heuristic construction, and NeuroEvolution of Augmenting Topologies (NEAT) to train bots to test and evaluate difficulty levels. He discusses ways to extend and use AI bots to predict game success rates and conduct automatic performance testing. Alexander explains how this AI approach can be generalized to test other applications. Learn how AI can help you with testing that’s getting very difficult to master with traditional testing techniques.