Abstract: A contextualized human machine system is provided comprising a context engine and a user interface configured to communicate a recommended data to a user. In some embodiments, the context engine selects the recommended data based on an activity of the user. In some embodiments, the input of the user comprises a chat stream of the user. In some embodiments, the recommended data comprises one of a video product, a hyperlink to information or a suggestion for annotating a product. In some embodiments, the context engine is configured to represent user activity, content, mission and actor as nodes in a multi-layer knowledge graph.

Abstract: Disclosed are systems and methods of communicating an attribute of an artificial intelligence (AI) agent system through an interface. The methods comprise receiving input data, determining attribute values of attributes to the input data over temporal periods, determining interface attribute values representing the interface attributes and communicating the interface attribute values to a dynamic interface. Also disclosed is a contextualized system comprising a contextualizer module and a user interface configured to communicate a recommended data to a user. In some embodiments, the contextualizer module selects a most pertinent data as the recommended data based on an activity of the user.