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
Link To Document :
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