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ACM Transactions on Modeling and Computer Simulation (TOMACS), Volume 14 Issue 4, October 2004

Empirical performance of bias-reducing estimators for regenerative steady-state simulations
Ming-Hua Hsieh, Donald L. Iglehart, Peter W. Glynn
Pages: 325-343
DOI: 10.1145/1029174.1029175

When simulating a stochastic system, simulationists often are interested in estimating various steady-state performance measures. The classical point estimator for such a measure involves simply taking the time average of an appropriate function...

Calculation of confidence intervals for simulation output
R. C. H. Cheng, W. Holland
Pages: 344-362
DOI: 10.1145/1029174.1029176

This article is concerned with the calculation of confidence intervals for simulation output that is dependent on two sources of variability. One, referred to as <i>simulation variability</i>, arises from the use of random numbers in the...

An asynchronous integration and event detection algorithm for simulating multi-agent hybrid systems
Joel M. Esposito, Vijay Kumar
Pages: 363-388
DOI: 10.1145/1029174.1029177

A simulation algorithm is presented for multi-agent hybrid systems---systems consisting of many sets of nonsmooth differential equations---such as systems involving multiple rigid bodies, vehicles, or airplanes. The differential equations are...

Modeling of discrete event systems: A holistic and incremental approach using Petri nets
Carmen-Veronica Bobeanu, Eugene J. H. Kerckhoffs, Hendrik Van Landeghem
Pages: 389-423
DOI: 10.1145/1029174.1029178

In this article, the authors provide an alternative view on Petri nets modeling of discrete event systems. The proposed modeling procedure follows the Systems Specification guidelines underlying the well-known DEVS modeling formalism. The authors'...