As such, computer science and machine learning now play a critical role in game theory, as the analyses of most real-world games are beyond human capabilities. The greater the game's complexity, the more effort is required to reason and decide the best strategic move. Much like the centuries-old chess game, game theory abides by the principles whereby your moves are directly affected by that of your opponent.Īt the recent World Expo 2020 in Dubai, SMU Assistant Professor of Computer Science Arunesh Sinha shed light on the importance of game theory in analysing modern-day situations during his presentation, Real World Decision Making using Game Theory.įor example, real-world security problems may be considered a “game” dependent on the behaviour of involved parties, albeit with much higher stakes. In the 1940s, mathematician Jon von Neumann and economist Oskar Morgenstern developed game theory, a technique used to analyse complex situations.