I always had a feeling that the path to an intelligent system should be similar to that of Google's autocomplete algorithm. On boot, all surrounding data will

I always had a feeling that the path to an intelligent system should be similar to that of Google's autocomplete algorithm. On boot, all surrounding data will be taken in, this step would give everything context. All new data coming in would be processed (referenced to original data to determine what is happening and actions to take), then clustered, and then updated to the original data set, dropping data from the original set determined to be irrelevant, and updating the context to give more relevant perspective of the new data coming in. (And loop)