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A Fuzzy Based Verification Agent for PerSim-An Ambient Intelligent Environment Simulator

The generation of useful sensory data from realworld deployments of Ambient Intelligent Environments (AIEs) is challenging because of the large cost, significant groundwork and lack of access to human subjects. This situation can be improved by providing efficient simulators that can produce realistic simulation of the data collection from AIEs. One of the biggest problems for developing AIEs simulators lies in the ability to verify how close the simulated data are to the real world data. In this paper, we will report on the Persim platform which is a component based discrete-event simulator for AIEs. The paper will present a fuzzy based verification agent for the Persim platform. The employed fuzzy based verification agent will build from data a model that mimics the operation of Persim which will allow for its objective and subjective verification. We have conducted the verification on real world data captured from the smart three bedroom apartment in Washington State University. The results show the power of the fuzzy based verification agent in verifying the Persim platform as well as giving feedback to improve the simulation results.