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WHAT IS GAME THEORY AND WHY IS IT USED IN ARTIFICIAL INTELLIGENCE?


INTRODUCTION
In data science technology, there are two techniques which are ruling the industry at the present time. We have frequently heard their names that are artificial intelligence and machine learning. Artificial intelligence is not technology, but it is a study of making the machines intelligent. We can say that machine learning is an application of artificial intelligence. Two concepts which are majorly used in artificial intelligence are neural networks and game theory. The neural network is a whole different concept from the game theory.

WHAT IS GAME THEORY?
Game theory is nothing but a branch of mathematics in which the concept of mathematics is implemented for the computation and implementation of games. At the present time, game theory is playing an important role in artificial intelligence. It is very obvious that the perfect application of the concepts of game theory is the games. It has been noticed that the techniques, artificial intelligence and game theory would perform better when implemented together.

GAME THEORY AND ARTIFICIAL INTELLIGENCE

 Game theory has been used in this field for adding some new and smart services to the applications of artificial intelligence.  In the last few years, we have seen and played many games in which we can play with multiple players at the same time. At the earlier time, there were no such facilities. This concept of the interaction of multiple players at the same time has evolved with the help of artificial intelligence technique. The combination of artificial intelligence and game theory is always suitable when we want to work in an environment of multiple people. This combination is not too beneficial for a single user environment. Here, game theory is frequently called as the game dynamics. The environment where an artificial intelligence system deals with multiple users is known as multiple agent artificial system. 

WHAT IS PARTICIPANT DESIGN?
We can understand from the name of this terminology that it revolves around the decisions which are made by the participants. Basically, it is used for optimizing the decisions made by the participants. It is done so that the user can take the maximum advantage of the services.

WHAT IS MECHANISM DESIGN?
Mechanism designing is used for designing the games for a group of intelligent people. For example, auction. In an auction, only those people participate who know how to purchase a thing smartly for the best price.

TYPES OF GAMES
Here are some types of games which should be known to every data scientist. They are listed below-->
·         Symmetric  vs Asymmetric
·         Perfect information  vs Imperfect information
·         Cooperative vs Non-Cooperative
·         Simultaneous vs Sequential
·         Zero-Sum vs Non-Zero Sum

WHAT IS SYMMETRIC VS ASYMMETRIC?

It has been said that the symmetric games are the simplest classification among all classifications. As the name indicates, symmetric games are those in which every player has the same goal, but each player uses a different strategy to achieve it. The best example of this type of games would be Ludo and chess. On the other hand, asymmetric games are those in which every player has different goals with different strategies. Here, the best example would be a business negotiation.

CONCLUSION
Game theory is a very interesting concept which is implemented in artificial intelligence. Those who are interested in acquiring more knowledge about any of the topics related to data science course in Pune can enroll themselves here by clicking the link.

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