GAMES IN AI

GAMES IN AI 

GAME  THEORY
AND
GAME PLAYING

Game Theory has been of fundamental value in the fields of computer science and artificial intelligence. Some of the applications to transactional, security and network protocols have their roots in ancient games; and even the implementation of certain workflow synchronization control, as in multithreaded programming, are actually based on such games. 

First there are three important issues to introduce, namely:

•      The term game theory corresponds to an interaction involving decision makers or players who are rational and intelligent.

•      The rationality of a player implies that the player chooses his strategies to maximize his payoff.

•      Intelligence means that players are capable enough to compute their best strategies.

In this presentation, I would like to introduce general Game Theory with focus on both zero-sum and non-zero sum games and their mechanism design, but I shall also provide some input on the notion of Nash Equilibrium and a historic framework in game theory and game playing.

To download this presentation's slides, click here.