- By Abhijeet Katte
The Game Theory has numerous applications in biology, economics and even artificial intelligence. The latest result of game theory’s application in machine learning is generative adversarial networks which have revolutionised the field of videos and images analysis. To put it simply, game theory is the study of mathematical models of strategic interaction between different kinds of decision makers. The game theory is also used predominantly in studying the behaviours of agents and their relations. Many advances in AI such as achievements in the game of GO, Jeopardy and Chess are tied to the use of game theory in chess.
Here is a list of books that can help a data scientist to start learning game theory:
1. Essentials of Game Theory: A Concise Multidisciplinary Introduction By Kevin
📣 Want to advertise in AIM? Book here
Abhijeet Katte
As a thorough data geek, most of Abhijeet's day is spent in building and writing about intelligent systems. He also has deep interests in philosophy, economics and literature.
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