Dstl examines battle simulations based on stochastic evolution codes. One such code, known as SIMBAT (SIMple BATtle program) models the evolution of the battle as a sequence of turns in which the two sets of combating units move in a landscape. The units have objectives and act accordingly, they can acquire enemy units if lines-of-sight in the landscape permit this, and they can fire upon and disable enemy units with a certain probability. Based on the setting of a large number of parameters, and also on the outcome of pseudo-random decisions and engagements made in the course of the action, a final outcome of the battle is achieved. Figure 1 shows a SIMBAT screenshot. Figure 1: Screenshot from a SIMBAT battle. The setting is that of a ‘s...
We revisit two basic Direct Simulation Monte Carlo Methods to model aggregation kinetics and extend ...
We present a method which extends Monte Carlo studies to situations that require a large dynamic ran...
In this paper we address the problem of automatically discovering optimal tactics in a combat scenar...
Discrete models of combat are a rare part of the combat modelling literature. Our work introduces a ...
In Part I of this thesis we extend the Lanchester Ordinary Differential Equations and construct a ne...
Gillespie's Stochastic Simulation Algorithm (SSA) is an exact procedure for simulating the evolution...
The paper attempts to model a tank versus tank battle scenario in which the defender is provided an ...
A faster algorithm, the selective dynamics releasing frame (SORF), to computer-simulate the stochast...
Stochastic models are widely used in the simulation of biochemical systems at a cellular level. For ...
Current military simulations focus on high resolution, conventional warfare models based on well-est...
This paper describes the process of shooting a mobile armored combat vehicle with directed fragmenta...
This paper describes the process of shooting a mobile armored combat vehicle with directed fragmenta...
This thesis develops robust tactics for countering multi-domain super swarms. Previous research has ...
Output analysis for stochastic simulation has traditionally focused on obtaining statistical summari...
Quantitative analysis by means of discrete-state stochastic processes is hindered by the well-known ...
We revisit two basic Direct Simulation Monte Carlo Methods to model aggregation kinetics and extend ...
We present a method which extends Monte Carlo studies to situations that require a large dynamic ran...
In this paper we address the problem of automatically discovering optimal tactics in a combat scenar...
Discrete models of combat are a rare part of the combat modelling literature. Our work introduces a ...
In Part I of this thesis we extend the Lanchester Ordinary Differential Equations and construct a ne...
Gillespie's Stochastic Simulation Algorithm (SSA) is an exact procedure for simulating the evolution...
The paper attempts to model a tank versus tank battle scenario in which the defender is provided an ...
A faster algorithm, the selective dynamics releasing frame (SORF), to computer-simulate the stochast...
Stochastic models are widely used in the simulation of biochemical systems at a cellular level. For ...
Current military simulations focus on high resolution, conventional warfare models based on well-est...
This paper describes the process of shooting a mobile armored combat vehicle with directed fragmenta...
This paper describes the process of shooting a mobile armored combat vehicle with directed fragmenta...
This thesis develops robust tactics for countering multi-domain super swarms. Previous research has ...
Output analysis for stochastic simulation has traditionally focused on obtaining statistical summari...
Quantitative analysis by means of discrete-state stochastic processes is hindered by the well-known ...
We revisit two basic Direct Simulation Monte Carlo Methods to model aggregation kinetics and extend ...
We present a method which extends Monte Carlo studies to situations that require a large dynamic ran...
In this paper we address the problem of automatically discovering optimal tactics in a combat scenar...