Adaptive robust optimization
Author: Woo Soo Choe (ChE 345 Spring 2015)
Adaptive Robust Optimization
The objective of game theory is to analyze the relationship between decision-making situations in order to achieve a desirable outcome. The theory can be applied to a wide range of applications, including, but not limited to, economics, politics and even the biological sciences. In essence, game theory serves as means to create a model to represent certain scenarios that have a variety of variables and potential outcomes. With these models developed from game theory, one can determine if assumptions made for a certain scenario are valid or whether additional models should be created that could more accurately assess the current problem. Game theory can be broken into a variety of different "games," each analyzing different situations in which a decision is to be made by one player with other players potentially affecting the process.
1. "John Von Neumann." John Von Neumann Biography. N.p., n.d. Web. 25 May 2014.
2. M. J. Osborne, An Introduction to Game Theory, Oxford University Press, 2004.
3. R. J. Vanderbei, Linear Programming: Foundations and Extensions, Springer, 2008.
4. S. Tadelis, Game Theory: an Introduction, Princeton University Press, 2013.