Abstract: A method for power management comprising inferring a user behavior from an action, inferring a mission state from the action and an event, forecasting a forecasted action from the user behavior and the mission state and outputting an instruction to modify a power resource allocation based on the forecasted action. A processor based assembly for power management of at least one device comprising a means to infer a user behavior from an action, a means to infer a mission state from the action and an event, a means to forecast and a means to plan power management from the inferred information. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.

Abstract: A method for modeling a process comprising receiving a first formatted data input representing a process element and a second formatted data input representing a process element, executing a simulation and determining a measure representing the simulation of the process element given the entity element. In some embodiments, the process element represents a business process and the entity element represents a resource unit and the simulation comprises a temporal simulation. Some embodiments further comprise the measure being a completeness measure associated with a decay rate or a repair rate. Some embodiments also include the measure comprising an information product completeness measure. Some embodiments also include automatically determining the process element and the entity element. Systems, to include processor based embodiments having a computer program product to perform the methods are also disclosed.