Abstract: According to some disclosed embodiments an action is performed by an electronic social agent. The electronic social agent collects a first dataset indicating the user's state, the user's environment state, and a first user response to the performed action. Then, it is determined whether it is desirable to collect a second response from the user and, if so, it is further determined whether to generate a question to be presented to the user based on an analysis of a first dataset and the first user response. Then, an optimal time for presenting the question to the user is determined. A question that is based on the collected data and the first user response is generated by the electronic social agent for actively collecting an additional user response. Then, based on the collected additional user response, the decision-making model of the electronic social agent is updated and improved.

Abstract: According to some disclosed embodiments an action is performed by an electronic social agent. The electronic social agent collects a first dataset indicating the user's state, the user's environment state, and a first user response to the performed action. Then, it is determined whether it is desirable to collect a second response from the user and, if so, it is further determined whether to generate a question to be presented to the user based on an analysis of a first dataset and the first user response. Then, an optimal time for presenting the question to the user is determined. A question that is based on the collected data and the first user response is generated by the electronic social agent for actively collecting an additional user response. Then, based on the collected additional user response, the decision-making model of the electronic social agent is updated and improved.

Abstract: A system and method for conducting a strategy of a digital assistant includes identifying a plurality of potential plans for a user based on input data, wherein the plurality of potential plans includes an optimal plan and at least one suboptimal plan, wherein the input data includes historical data and a current state of the user; extracting a first dataset, a second dataset, and a third dataset from the input data, wherein the first dataset provides a rejection history, wherein the second dataset indicates receptiveness level of the user, wherein the third dataset includes confidence levels of expected reward values; determining an exploration score based on the first dataset, the second dataset, the third dataset, and the input data; determining a strategy based on the determined exploration score; and causing the digital assistant to perform at least one of the plurality of potential plans based on the determined strategy.

Abstract: A method and system for generating a modified input/output (I/O) device policy in response to external promotional events. The method includes generating a modified policy based on a request to promote at least one service, wherein the modified policy is generated based on at least one service currently defined in an initial policy of the I/O device and similar to the at least one service to be prompted; determining a current state of a user of the I/O device based on a collected dataset related to a user of the I/O device; and executing, based on the current state, at least one plan defined in the modified policy, wherein executing the at least one plan further includes causing the I/O device to activate at least one service to be prompted.

Abstract: A system and method for operating a digital assistant based on deviation from routine behavior of a user using the digital assistant are provided. The method includes analyzing a first collected dataset to determine at least routine information regarding the user; analyzing a second dataset and the determined routine information regarding the user to determine a deviation level value, the deviation level value describing the deviation of a current behavior from routine behavior of the user, and wherein the second dataset includes real-time data regarding the user; determining a plan for the digital assistant, wherein the plan includes at least one action to be performed by the digital assistant; and operating the digital assistant based on the determined plan, thereby causing the digital assistant to adjust the behavior of the user.

Abstract: A system and method for modifying an initial policy of an input/output device are provided.

Abstract: A system and method for updating an input/output device decision-making model of a digital assistant based on routine information of a user are provided. The method includes analyzing at least a first collected dataset to identify a routine information data feature and a confidence level associated with the routine information data feature, wherein the first collected dataset is a dataset associated with a user; updating the input/output (I/O) device decision-making model of the digital assistant to include the identified routine information data feature; and executing at least one plan via the updated digital assistant by causing the I/O device to output a signal for causing at least one action by an external system with respect to the outside world.

Abstract: A system and method for automatically and objectively identifying intense responses and updating decisions related to input/output devices. A method includes applying a machine learning model to an input dataset including data from sensors related to actions performed by a user in response to outputs caused via at least one input/output (I/O) device; identifying, based on output of the machine learning model, an intense response of the user; updating a decision-making model with respect to controlling the at least one I/O device based on the identified intense response; and executing at least one plan based on the updated decision-making model, wherein executing the at least one plan further comprises causing at least one output via the at least one I/O device.

Abstract: A method and system for customizing setup of features of an electronic device. The method includes collecting user data related to a user using the electronic device, wherein the user data is collected, in part, using at least one sensor connected to the electronic device; analyzing the collected user data to determine for each user action of a plurality of user actions a corresponding probability score, wherein a probability score is a probability that the user chooses to perform a particular subsequent user action from the plurality of user actions, wherein a user action of the plurality of user actions is enabled by a setup plan; selecting based on the probability scores at least one setup plan corresponding to an action having the highest probability score; and configuring a feature of the electronic device based on the selected setup plan.

Abstract: According to some disclosed embodiments an action is performed by an electronic social agent. The electronic social agent collects a first dataset indicating the user's state, the user's environment state, and a first user response to the performed action. Then, it is determined whether it is desirable to collect a second response from the user and, if so, it is further determined whether to generate a question to be presented to the user based on an analysis of a first dataset and the first user response. Then, an optimal time for presenting the question to the user is determined. A question that is based on the collected data and the first user response is generated by the electronic social agent for actively collecting an additional user response. Then, based on the collected additional user response, the decision-making model of the electronic social agent is updated and improved.

Abstract: A method of processing an image is disclosed. The method comprises: decomposing the image into a plurality of different resolutions; and for each resolution, processing the image at the resolution to extract edge-orientation information; utilizing the edge-orientation information for identifying contours in the image; and transmitting at least the identified contours to a computer-readable medium.

Abstract: A method of processing an image is disclosed. The method comprises: decomposing the image into a plurality of different resolutions; and for each resolution, processing the image at the resolution to extract edge-orientation information; utilizing the edge-orientation information for identifying contours in the image; and transmitting at least the identified contours to a computer-readable medium.