Publication
Title
Domain-specific decision modelling and statistical analysis for combat system effectiveness simulation
Author
Abstract
Combat system effectiveness simulation (CoSES) needs to model both the physical aspect (i.e. physics modelling) and intelligent aspect (i.e. decision modelling) of combat systems. Combat platform decision-making has several characteristics such as cognition, diversity, agility, uncertainty and higher abstraction level, which bring tough challenges for decision model design, implementation and optimization. In this paper, we propose a domain-specific modelling approach which develops friendly modelling environments for model design, we design code generation mechanisms to transform domain-specific decision models to Python code which is supported by a Python script framework to implement decision models and we present a Bayesian network-based statistical analysis method on simulation output data to optimize the decision model. The case study shows that the proposed modelling and optimization approach effectively supports CoSES with decision models of higher efficiency and increased effectiveness.
Language
English
Source (journal)
Journal of statistical computation and simulation. - New York, N.Y., 1972, currens
Publication
New York, N.Y. : Gordon and Breach Science Publishers, 2014
ISSN
0094-9655 [print]
1563-5163 [online]
Volume/pages
84:6(2014), p. 1261-1279
ISI
000330705200008
Full text (Publishers DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 04.04.2014
Last edited 03.05.2017
To cite this reference