Precomputation of context-sensitive policies for automated inquiry and action under uncertainty

A computer implemented method for developing model policies system, comprising:

• employing a processor to execute computer executable instructions stored on a computer readable storage medium to implement the following acts:
• recording a set of appointment properties associated with a user's electronic calendar;
• utilizing the set of appointment properties associated with the user's electronic calendar to develop logical rules or probabilistic user models in an offline computing environment;
• developing a policy component that includes decision-making instructions that are derived from the logical rules or probabilistic user models;
• and
• encoding the policy component for implementation onto a mobile device.

A system to facilitate mobile device operations, comprising:

• a processor;
• a memory communicatively coupled to the processor and storing computer readable instructions for implementing the following components;
• a learning component for learning user models in an offline computing environment, the user models learned by utilizing each of a training input and a user input in the offline computing environment, the user models are associated with a model of interruptibility or a model of attendance;
• an encoding component for encoding an output from the user model according to one or more control policies;
• and
• a transmission component for transmitting the control policies to a remote device, the control policies executable in an online computing environment at the remote device apart from the offline computing environment.