Aggregation procedures for large hierarchical simulation models

Document Type

Conference Proceeding

Publication Date

10-30-2007

Abstract

The purpose of this research is to investigate how aggregation should be conducted in simulation of large systems, specifically, investigating how to accurately aggregate hierarchical lower-level (higher resolution) models into the next higher-level. The main effort has been directed at developing an aggregation process between two simulation levels from the Department of Defense (DoD) Combat Modeling pyramid (e.g., aggregation of mission level models into a campaign level model) to address how much and what information needs to pass from the high-resolution to the low-resolution model in order to preserve statistical fidelity. We present a mathematical framework based on network theory and procedures for simulation aggregation that are comprehensible and executable. The process suggested is a compilation of several established statistical and aggregation techniques, but is presented in a logical and systematic manner. The real-world application of the developed simulation aggregation process will be applied to military combat modeling in the area of combat identification (CID). Initial results illustrate the process applied to a fairly complex hierarchical flying training model. There is no best universal method for all scenarios; however, the method prescribed here is a well-defined set of procedures for statistically sound simulation aggregation. Abstract © Society for Modeling and Simulation

Comments

Co-author June Rodriguez was an AFIT PhD candidate at the time of this conference. (AFIT-DS-ENS-08-03, September 2008 cohort)

Source Publication

Huntsville Simulation Conference, HSC 2007

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