Fuzzy Based Verification Agent for PerSim - An Ambient Intelligent Environment Simulator
The generation of useful sensory data from real-world 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, the authors 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.