This session concerns itself with modeling the seismicity-related geo-data as the self-optimization process of an electromagnetically equivalent device and developing less accurate but fast models.

There are maps established between the parameter spaces of the geo-data and the characteristics of the electromagnetically equivalent device models. The temporal variations of the geo-data are correlated to the self-optimizing the specific characteristics of the electromagnetically equivalent devices in the models will be discussed in this session. The relationship said here gives a possibility of predicting the geo-data. Using the inverses of the mapping said above generates the evaluations giving the predictability conditions involving restrictions. The inversion of the mapping exploits a fine model at predicting the natural iterations of the geo-data at future on both the region under the observation and some locations non-related to the observation region either geologically or seismically or phenomenologically relating to the earth. The inversion processes from the electromagnetically equivalent device models (is called EEDM in short) , but not limited to, will be discussed in this session.