| 摘要 |
A creature animat movement, tracking and detection model in combination with a source stimulus propagation model to quantify expected levels of stimulus dosages in a virtual environment as well as the relative effectiveness of detection sensors in the same virtual environment. The method compensates for the inherent variability and uncertainty of input data related to creature animats, their detection and tracking and stimulus propagation. Preferably, the compensation is accomplished by selecting a random value from the input variable distribution and running the model as if it were deterministic. The method may be run wholly random, wholly deterministic or in combination. The method is controlled by a master clock insuring the correct simultaneous coincidence of animat locations, stimuli and detection signals. Repitition of running with random values yields a significant distribution that allows for application of statistical measures to account for the inherent variability and uncertainty.
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