Patent ID: 7885912

Claim:
A machine-data ontology method, for use in computational processing of cognitive information within at least one autonomous decision system having at least one input system for providing input data about at least one circumstance among objects, comprising the steps of: a) storing within such at least one autonomous decision system a large set of non-linguistic data “primitives”, such primitives being structured and arranged to classify objects according to which subset of such primitives is assigned to a particular object; and b) computationally non-linguistically classifying particular objects; c) wherein such non-linguistic classifying comprises computationally assigning a representation comprising a set of n (a variable depending on the particular object) such primitives to a particular object, wherein such set of assigned primitives comprises information about behavioral tendencies of such particular object; d) wherein a less abstract such representation comprises x such primitives where x<n; e) wherein such assigned less-abstract representation may be made progressively more abstract by progressively removing increasingly larger subsets x of such assigned set of primitives; and f) wherein a most abstract such representation comprises one such assigned primitive (n−x=1).