Abstract: A system and method for adjusting a device personality profile. The method includes: generating a first user profile; selecting a first personality profile for a device based on matching the first user profile to a cluster of user profiles, wherein the first personality profile includes a first distribution of character traits in a multidimensional space; sampling a character trait; causing the device to execute at least a physical interaction item, based on the sampled character traits; collecting a set of real-time data from the user indicative of a reaction to the executed physical interaction item; determining a second personality profile for the device including a second distribution over a plurality of second character traits, wherein the second personality profile replaces the first personality profile; and, updating the second personality to enable execution of at least one modified physical interaction item.

Abstract: A system and method for adjusting a device personality profile. The method includes: generating a first user profile; selecting a first personality profile for a device based on matching the first user profile to a cluster of user profiles, wherein the first personality profile includes a first distribution of character traits in a multidimensional space; sampling a character trait; causing the device to execute at least a physical interaction item, based on the sampled character traits; collecting a set of real-time data from the user indicative of a reaction to the executed physical interaction item; determining a second personality profile for the device including a second distribution over a plurality of second character traits, wherein the second personality profile replaces the first personality profile; and, updating the second personality to enable execution of at least one modified physical interaction item.

Abstract: A system and method for customizing a user model of a device using optimized questioning. The method includes: retrieving a user model associated with a user of a device; identifying a plurality of data items having undetermined certainty levels with respect to the user model; selecting a question that a response thereto is most likely to allow a highest contribution level to the user model, wherein the highest contribution level to the user model is determined based on an analysis of a first contribution level of the question to at least one data item of the plurality of data items and a second contribution level of the at least one data item to the user model; relaying the selected question to the user; receiving a user response to the question; and updating the user model based on the received user response.

Abstract: Various exemplary embodiments relate to a method of managing the distribution of images in a distributed cloud network by a network management system, including: receiving, by the network management system, a request for an image for a network node; identifying, by the network management system, an image from a plurality of images compatible with the network node; and initiating, by the network management system, installation of the image on the network node.

Abstract: Critical data may be synchronously stored in both a cache, and a database of a remote data repository of a cloud-based network. Alternatively, critical data may be synchronously stored in the cache, and critical and/or non-critical data may be asynchronously stored in the database.

Abstract: Various exemplary embodiments relate to a method of managing the distribution of images in a distributed cloud network by a network management system, including: receiving, by the network management system, a request for an image for a network node; identifying, by the network management system, an image from a plurality of images compatible with the network node; and initiating, by the network management system, installation of the image on the network node.