Modeling and simulation quickly becomes out of sync with new events, the emergence of new forces, and newly proposed theories. The goal of the Sentient World Simulation (SWS) is to build a synthetic mirror of the real world with automated continuous calibration with respect to current real-world information, such as major events, opinion polls, demographic statistics, economic reports, and shifts in trends. The ability of a synthetic model of the real world to sense, adapt, and react to real events distinguishes SWS from the traditional approach of constructing a simulation to illustrate a phenomena. Behaviors emerge in the SWS mirror world and are observed much as they are observed in the real world. Basing the synthetic world in theory in a manner that is unbiased to specific outcomes offers a unique environment in which to develop, test, and prove new perspectives.