Abstract: The invention is directed to an intelligent personal agent platform that uses sensor data and other inputs to monitor and detect daily activities, to monitor adherence to goals or plans, and to provide in-context personalized advice, coaching, and support to a user. The platform integrates wearable and environmental sensors that gather real-time behavior data with one or more software-based intelligent personal agents that run on cloud-based or local servers to monitor and analyze the data and provide a response, such as a request to take a certain action. Users can interact with their personal agents wherever they are via a variety of interfaces depending on the communication devices and communication networks that are available to them (e.g. mobile devices, Smart TVs, wearable displays, heads-up displays in a car, touch interfaces, and spoken natural language).

Abstract: The present invention is a method and apparatus for generating nodes and link definitions for a hypertext database from at least one source document which includes text and formatted properties that define a logical structure of the source document. Initially, the source document is segmented according to selected formatted properties. A node is then generated for each segment of the source document. Thereafter, link definitions are created to establish associations between the nodes so as to maintain the logical structure of the source document defined by the format properties. The nodes and link definitions can be imported to a hypertext database and searched with a hypertext engine.

Abstract: Methods and apparatus for modeling behavior. A computer model includes an agent having one or more beliefs, a world model, and facts. Behavior is modeled by frames including workframes modeling a time-consuming portions of an activity or thoughtframes modeling non-time-consuming portions of an activity or information processing. Detectables model acquisition of, and response to, information during a defined portion of an activity. A detectable tests facts to form beliefs of the agent, which can affect continued performance of the activity. The model is run by selecting for each time one of the frames to be the working frame; maintaining a context of active frames representing activities that are underway at any time; performing the working frame until it completes or another frame is selected to be performed in its place.