A computational model of a stealth strategy inspired by the apparent mating tactics of male hoverflies is presented. The stealth strategy (motion camouflage) paradoxically allows a predator to approach a moving prey in such a way that it appears to be a stationary object. In the model, the predators are controlled by neural sensorimotor systems that base their decisions on realistic levels of input information. They are shown to be able to employ motion camouflage to approach prey that move along both real hoverfly flight paths and artificially generated flight paths. The camouflaged approaches made demonstrate that the control systems have an ability to predict future prey movements. This is illustrated using two- and three-dimensional simulations.
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