Abstract: An apparatus for use in a communication network comprises a state machine capable of transitioning between a plurality of states. The plurality of states comprises at least two concurrent states. The state machine operates in the at least two concurrent states concurrently. Each of the concurrent states may be associated with a task. At least a portion of the task associated with one of the concurrent states may be performed concurrently with at least a portion of the task associated with another of the concurrent states when the state machine operates in the concurrent states.

Abstract: An intelligence engine software architecture is disclosed. The architecture consists of a sensor layer, a knowledge processing layer, and an intelligence layer. The sensor layer can receive input data from a plurality of domains and convert the input data into a domain-independent format. The knowledge processing layer can identify a pattern in the domain-independent data and compare the domain-independent data to a previously identified pattern. The intelligence layer can make a prediction based on the comparison of the domain-independent data to the previously identified pattern, the intelligence layer is further operable to issue reports, events, and other information of interest to an operator.

Abstract: An intelligence engine software architecture is disclosed. The architecture consists of a sensor layer, a knowledge processing layer, and an intelligence layer. The sensor layer can receive input data from a plurality of domains and convert the input data into a domain-independent format. The knowledge processing layer can identify a pattern in the domain-independent data and compare the domain-independent data to a previously identified pattern. The intelligence layer can make a prediction based on the comparison of the domain-independent data to the previously identified pattern, the intelligence layer is further operable to issue reports, events, and other information of interest to an operator.