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Abstract. The increasing presence of electronic warfare devices on the battlefield,
combined with doctrine that emphasizes the value of maneuver, precision
strike, and high operational tempo, present the military operations researcher
with increasingly difficult problems. Additionally, it is becoming increasingly obvious
that traditional OR techniques have serious limitations for describing complex
systems with non-linear dependencies, which are common on the battlefield.
This paper describes how a cellular automata model can make
some headway on the problem of describing the modern reconnaissance
environment. The model emphasizes the behaviour of the participants rather
than the physics of the equipment. This leads to complex
interactions between the entities, which go some way towards representing
the non-linearities inherent in real-life operations. The value of detection-range
advantage and erial reconnaissance falls out of the model remarkably
naturally when one considers the arbitrary way these are represented
in conventional models. Moreover, it is seen that for certain
ranges of parameters, the survivability of the Recce force is
nearly independent of the kill probability of the weapons of
its opponents, a result that contrasts with the Lanchester-like nature
of conventional models. For these reasons, the results presented should
be of great significance to the military OR community.
Related topics:
operations research, simulation, sensors, surveillance and target acquisition
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