1. A computer implemented method for validating expected cohort behavior, the computer implemented method comprising: processing sensory data associated with a cohort group to form a set of actual cohort behavior data, wherein each member of the cohort group shares at least one common attribute; comparing the set of actual cohort behavior data to a set of predicted cohort behavior models, wherein the set of actual cohort behavior data comprises information describing actual behavior by members of the cohort group and wherein the set of predicted cohort behavior models comprises information describing an expected behavior of members of the cohort group; and generating a comparison result, wherein the comparison result indicates an accuracy of the set of predicted cohort behavior models.
8. The computer implemented method of claim 1 wherein the set of multimodal sensors comprises at least one of a set of global positioning satellite receivers, a set of infrared sensors, a set of microphones, a set of motion detectors, a set of chemical sensors, a set of biometric sensors, a set of pressure sensors, a set of temperature sensors, a set of metal detectors, a set of radar detectors, a set of photosensors, a set of seismographs, and a set of anemometers.