DocumentCode
1817370
Title
Estimating the probability that the game of Monopoly never ends
Author
Friedman, Eric J. ; Henderson, Shane G. ; Byuen, Thomas ; Gallardo, Germán Gutiérrez
Author_Institution
Sch. of Oper. Res. & Inf. Eng., Cornell Univ., Ithaca, NY, USA
fYear
2009
fDate
13-16 Dec. 2009
Firstpage
380
Lastpage
391
Abstract
We estimate the probability that the game of Monopoly between two players playing very simple strategies never ends. Four different estimators, based respectively on straightforward simulation, a Brownian motion approximation, asymptotics for Markov chains, and importance sampling all yield an estimate of approximately twelve percent.
Keywords
Brownian motion; Markov processes; game theory; importance sampling; probability; simulation; Brownian motion approximation; Markov chains; Monopoly game; importance sampling; probability; straightforward simulation; Books; Discrete event simulation; H infinity control; Infinite horizon; Java; Monopoly; Monte Carlo methods; Motion estimation; Operations research; Yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), Proceedings of the 2009 Winter
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-5770-0
Type
conf
DOI
10.1109/WSC.2009.5429349
Filename
5429349
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