How can Babble understand very complex and even contradictory ideas using simple structures like tridbits?
While a single tridbit represents only the simplest unit of information, it is the cumulative effect of hundreds or thousands of tridbits stored in a knowledge base that allows complex and even contradictory knowledge to be understood. Tridbit technology includes methods to keep this data organized and maintain its integrity. These methods include referent reduction, instantiation of concepts and general qualified concepts, which are described in the white paper. An example might help. Lets say Babble is told by Alice that milk is healthy because it prevents osteoporosis. Babble stores this as one tridbit assigning a property of healthy to milk, two more to define milk as the subject of a prevent event and osteoporosis as its object and a last one to assign milk being healthy as the consequence of the prevent event. It would also be a good idea for Babble to add an assertion assigning Alice as the source of these tridbits, since the current information about milk and health is very com
