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Artificial intelligence may be a recent buzzword, but this concept is not as new as you may think. Somewhere around 1949, a math expert called Claude Shannon designed the concept of a single-player chess game in which humans were pitted against a computer.
In the late 1980s a PC game called Sim City used a very basic form of AI to let the human characters inside the game display erratic emotions. But those were very primitive uses of artificial intelligence. Today, AI is simply exploding imaginations and becoming a huge discipline, especially in gaming.
Claude Shannon, with a real-world model of his Chess game
Next big thing in AI – Self-learning characters
Gaming has evolved significantly over the past decade. Gamers are getting more and more intuitive and seek games that can sense their intuition and adapt to their preferences.
Let’s take the example of real life football and connect it to the hugely popular FIFA franchisee by EA Sports. If football players makes a couple of bad decisions on the field, their morale gets impacted adversely. For example, if someone misses an easy goal, or makes a rough tackle and gets a card, their confidence drops. They may not be able to give their best on the field after that.
Newer versions of FIFA are expected to integrate this behaviour, where every player’s performance levels will change basis how the human who has been playing the game is handling the players inside the game.
Will AI be your smartest opponent ever?
Traditionally, the moves made by opponents in games were pre-programmed and pre-determined, which added a sense of predictability. In the future though, this is all about to change.
Artificial intelligence is about to self-learn and come up with its own moves in the game, allowing for a much more unpredictable and immersive gaming experience. How is this possible though? It’s thanks to a field of study called ‘Game theory’.
Beat you at your own game!
Game Theory is a very famous discipline within economics that deals with choices and alternatives. Should you take action A or B? This is something that game developers are integrating within their games, to help characters self-learn and make the best possible decision in real time.
So what are the specifics behind game theory that can help game developers? There are two concepts, called payoff and Nash equilibrium. Payoff is the benefit that a particular player inside the game gets by taking a certain decision. Nash equilibrium, aptly titled after the economic expert who invented this theory, is a state in which no player can get any benefit even if they change their strategies. And from this springs a dominant strategy, which is the perfect alternative that we are looking at.
AI-based games can use this theory for making characters smart enough to take decisions that can yield the best output. For example, in Counter Strike, should you enter room A or room B? Where are you more likely to find an opponent that you wish to kill?
The future of gaming is immersive
Companies are making investments worth billions in artificial intelligence and deep learning tools and for hiring experts proficient in this domain. Also, since the future is all about AI applications in exciting sectors like gaming, now is the right time to get trained in artificial intelligence.
If you want to equip yourself with the necessary skills, it is time to upskill and upgrade. Manipal ProLearn is launching PG Certificate Program in Artificial Intelligence & Deep Learning on 24th November and the aim is to arm AI and DL enthusiasts with the right skills so that they can tackle this sector for the win!