Abstract: A computer-implemented planning agent employing a dictionary of goal, action, and method, refiners to build refiner tree via iteratively relevance binding refiners to distal nodes of the tree, according relevance to the node as defined in the dictionary, then applicability binding those added refiners supported by the current state at that node of the tree. When one or more branches achieve a state in which the top-level goal is achieved, a plan made by choosing the actions along a selected successful branch. The plan can be an unscheduled dependency-ordered sequence of actions, which can be scheduled by atomizing each action into separate sets of start and end conditions and paralleling the atomic action components to the extent permissible by action dependencies.

Abstract: Methods, systems, and media for presenting search results are provided. In accordance with some embodiments, the method comprises: receiving text corresponding to a search query; determining whether a content rating score associated with the search query is below a predetermined threshold, wherein the score is calculated by: identifying a first plurality of search results retrieved using the search query, wherein each search result is associated with one of a plurality of content ratings classes; and calculating the content rating score that is a proportion of search results associated with at least one of the content ratings classes among the first plurality of search results; in response to determining that the content rating score is below the predetermined threshold, identifying a second plurality of search results to be presented based on the search query; and causing the second plurality of search results to be presented.

Abstract: Methods, systems, and media for presenting search results are provided. In accordance with some embodiments, the method comprises: receiving text corresponding to a search query; determining whether a content rating score associated with the search query is below a predetermined threshold, wherein the score is calculated by: identifying a first plurality of search results retrieved using the search query, wherein each search result is associated with one of a plurality of content ratings classes; and calculating the content rating score that is a proportion of search results associated with at least one of the content ratings classes among the first plurality of search results; in response to determining that the content rating score is below the predetermined threshold, identifying a second plurality of search results to be presented based on the search query; and causing the second plurality of search results to be presented.