Game Theory by Brian Clegg
Author:Brian Clegg [Clegg, Brian]
Language: eng
Format: epub
ISBN: 0103448276
Publisher: Icon
Published: 2022-09-15T00:00:00+00:00
Nash equilibria
The most significant contribution Nash would make to game theory was to describe an outcome known as a Nash equilibrium. Imagine, for example, a game where each player can choose red or blue. Player 1 chooses red and player 2 chooses blue. This solution is a Nash equilibrium if things would not be better for player 1 by choosing blue, and things would not be better for player 2 by choosing red. In some games, such as the prisonerâs dilemma, there is a single Nash equilibrium (in that case, reneging on each other), but there can be more than one. As this demonstrates, unlike von Neumannâs minimax strategy, which only applies to zero-sum games, Nash equilibria are available for applications with more complex outcomes.
For example, consider a game where there is £5 available in a pot. Two players are given the choice of asking for £2 or £3. If they choose the same amount they get nothing, but if they choose different amounts they get what they ask for. Here, both outcomes where they win something is a Nash equilibrium, because in either case, each player is making the best decision given the choice of the other player.
Player 1 â | Player 2 â £2 £3
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Biomathematics | Differential Equations |
Game Theory | Graph Theory |
Linear Programming | Probability & Statistics |
Statistics | Stochastic Modeling |
Vector Analysis |
Modelling of Convective Heat and Mass Transfer in Rotating Flows by Igor V. Shevchuk(6213)
Weapons of Math Destruction by Cathy O'Neil(5795)
Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think by Hans Rosling(4464)
Descartes' Error by Antonio Damasio(3145)
A Mind For Numbers: How to Excel at Math and Science (Even If You Flunked Algebra) by Barbara Oakley(3087)
Factfulness_Ten Reasons We're Wrong About the World_and Why Things Are Better Than You Think by Hans Rosling(3031)
TCP IP by Todd Lammle(2988)
Applied Predictive Modeling by Max Kuhn & Kjell Johnson(2881)
Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets by Nassim Nicholas Taleb(2839)
The Tyranny of Metrics by Jerry Z. Muller(2823)
The Book of Numbers by Peter Bentley(2750)
The Great Unknown by Marcus du Sautoy(2521)
Once Upon an Algorithm by Martin Erwig(2462)
Easy Algebra Step-by-Step by Sandra Luna McCune(2439)
Lady Luck by Kristen Ashley(2391)
Practical Guide To Principal Component Methods in R (Multivariate Analysis Book 2) by Alboukadel Kassambara(2365)
Police Exams Prep 2018-2019 by Kaplan Test Prep(2337)
All Things Reconsidered by Bill Thompson III(2247)
Linear Time-Invariant Systems, Behaviors and Modules by Ulrich Oberst & Martin Scheicher & Ingrid Scheicher(2216)
