WSC 2009 Final Abstracts

Simulation Fundamentals
Barry Lawson (University of Richmond) and Lawrence Leemis (College of William and Mary)

Abstract:
This paper provides an introduction to simulation fundamentals via the Monte Carlo and next-event approaches to simulation, supported by two representative programs from the software suite written specifically for the Winter Simulation Conference’s Simulation 101 workshop. The simulation libraries and functions associated with workshop are written using the R statistical language. R is suitable for an introduction to simulation because of its easy learning curve and its wide range of statistical procedures, built-in functions, and graphics capabilities. This paper begins with general instructions for downloading, compiling, and executing the software. This is followed by explanations of the Monte Carlo and next-event approaches, using two examples: craps() uses Monte Carlo simulation to estimate the probability of winning the dice game Craps, and ssq3() uses a next-event approach to estimate several measures of performance associated with a single-server queue.

Best Practices in Modeling and Simulation
Lisa Jean Bair (WernerAnderson, Inc.)

Abstract:
This session is a more advanced and Department of Defense focused treatment of Modeling and Simulation that is appropriate for those who are interested in Modeling and Simulation use in the Department of Defens. Topics include developing Modeling and Simulation requirements; interoperability; modeling and simulation support planning; risk analysis and management in the use of simulation; verification, validation, and accreditation (VV&A); and simulation standards.

Engineering Applications of Modeling and Simulation
Yiannis Papelis (Old Dominion University)

Abstract:
This session is a more advanced treatment of Modeling and Simulation with emphasis on engineering applications. Topics will address an array of engineering modeling and simulation tools for a general understanding of capabilities available to support design processes with examples in basic Modeling and Simulation methods for structural mechanics, computational fluid dynamics, and other engineering applications.

Foundations of Simulation
Eric Weisel (WernerAnderson, Inc.)

Abstract:
This session will focus on identification and investigation of mathematical and logical structures that form the foundation for computed simulation. Topics include foundations of simulation theory in logic, discrete mathematics, and computability; simulation formalisms, including DEVS; interoperability protocols; and computational complexity.

Introduction to Agent-Based Simulation Using Pythagorus
Edd Bitinas (Northrop Grumman Mission Systems)

Abstract:
This session will focus introduce agent-based simulation using Pythagorus. Agent-based simulations create software entities that are capable of responding to their perceived or actual situations based upon sets of decision rules. The interactions among different agents can create autonomous and emergent (i.e., unplanned and unforeseen) behavior. Pythagoras is an open-source agent-based simulation system developed to support studies on human factors in military combat and non-combat situations.

Principles of Combat Modeling and Distributed Simulation
Andreas Tolk (Old Dominion University)

Abstract:
This session will introduce the principles of combat modeling and simulation and distributed simulation. Topics will include introductory material such as best practices, history, and definitions; combat modeling algorithms and constraints for movement, sensing, effects, communications, and behavior; combat simulation standards and simulation systems; and distributed simulation and composability, focusing on interoperability and integration into operational environments.