Abstract: A system includes computer-readable storage media encoded with code defining a computer process. The computer process is configured to monitor its own resource utilization so that it can detect a resource-utilization condition. In response to a detection of the utilization condition, the computer process causes its own resource utilization to be reduced.

Abstract: A system includes computer-readable storage media encoded with code defining a computer process. The computer process is configured to monitor its own resource utilization so that it can detect a resource-utilization condition. In response to a detection of the utilization condition, the computer process causes its own resource utilization to be reduced.

Abstract: Methods, devices, and products relating to displaying, in a shared user-interface object, system-administration-related content from a heterogeneous group of resources associated with a computing device and/or executing software operable to cause a system-administration task to be performed. In one embodiment, a user interface for a local program executing on a computing device is presented as a part of a Web page that is supplied from a remote server.

Abstract: An apparatus for a multi-modal reasoning ontology engine comprising a data structure on computer readable media, where the data structures has a knowledge representation fact base of knowledge objects called tasks and results, where each result corresponds to one task to form a unique task-result pair, and a premise maintenance system of truth objects that can be reused called premises and conclusions.

Abstract: An apparatus and method for determining a solution to a problem where paths in at least one pursuit associated with the problem are traversed to generate one or more decision paths by processing one or more nodes in a given one of the paths, including: evaluating a premise if the node is a premise node, and passing the premise node if the premise passes, and noting a conclusion if the node is a conclusion node, withdrawing any previous conclusions that are not associated with a parent node of the conclusion, and passing the conclusion node; processing a child node if the current node is not a leaf node and is a node that passes; terminating a decision path if the child node cannot be processed, including asserting all noted, but non-withdrawn conclusions as a solution to the problem; and generating another decision path.