The Corps Battle Simulation for Military Training
The Corps Battle Simulation (CBS) is a discrete event simulation system that was developed for use in military training exercises.
CBS software engineering aspects simulaton technol↗
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Corps battle simulation
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battle simulation training↗
Corps battle simulation
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battle simulation training combat model↗
Joint Non-kinetic Effects Model (JNEM)
This slide presentation reviews the development of the Joint Non-kinetic Effects Model (JNEM), which is tool to support Battle Command Training that links simulation-generated non-kinetic events and outcomes to Training Audience Command and Staff decisions. JNEM helps create the operating environment for the following population groups (P-groups): (1) Local Civilians on the Battlefield, (2) Inter-Governmental Organizations (3) Non-Governmental Organizations (4) Contractors on the battlefield.
wargaming↗
Corps battle simulation
CBS is a computerize battle simulation system driven by Army Corps and Division Command Post Exercises and Battle Command Training Program War Fighter exercises.
simulation training Army↗
A quadtree algorithm to assess line of sight
Assessment of geometric line of sight is the most important purpose of the topography model in the Corps Battle Simulation, a constructive simulation program that supports training exercises for senior commanders and staff officers of the Army.
line of sight quadtrees TINs↗
The Corps Battle Simulaton: Remodeling the Model for New Missions
During the mid 1980's the U. S. Army established the Corps Battle Simulation (CBS) as a standard tool for training commanders and their staffs.
Low Intensity Conflict Resolution Detailing multi-↗
Adding intelligent services to an object oriented system
As today's software becomes increasingly complex, the need grows for intelligence of one sort or another to becomes part of the application, often an intelligence that does not readily fit the paradigm of one's software development. There are many methods of developing software, but at this time, the most promising is the object oriented (OO) method. This method involves an analysis to abstract the problem into separate 'objects' that are unique in the data that describe them and the behavior that they exhibit, and eventually to convert this analysis into computer code using a programming language that was designed (or retrofitted) for OO implementation. This paper discusses the creation of three different applications that are analyzed, designed, and programmed using the Shlaer/Mellor method of OO development and C++ as the programming language. All three, however, require the use of an expert system to provide an intelligence that C++ (or any other 'traditional' language) is not directly suited to supply. The flexibility of CLIPS permitted us to make modifications to it that allow seamless integration with any of our applications that require an expert system. We illustrate this integration with the following applications: (1) an after action review (AAR) station that assists a reviewer in watching a simulated tank battle and developing an AAR to critique the performance of the participants in the battle; (2) an embedded training system and over-the-shoulder coach for howitzer crewmen; and (3) a system to identify various chemical compounds from their infrared absorption spectra.
Robideaux, Bret R.↗