Stochastic Agent-Based Analysis of UAV Mission Effectiveness

摘要

The investigation of stochastic agent based simulations adds new difficulties to exploring design spaces and analyzing the results. These simulations no longer fulfill the requirements of deterministic computer simulations, and yet require fewer assumptions than traditional design of experiments; however in either exploration enormous amounts of data must be understood. This paper starts by developing a family-of-systems UAV simulation to investigate varying techniques of understanding the data from these simulations.