Abstract: A stickering system and method of managing electronic texts and related actions for real-time reinforcement learning based on machine learning, including: determining a contextual element in at least a part of an electronic text; linking a set of stickers with the contextual element and an action to define a relationship; and configuring a knowledge structure, in which the knowledge structure is re-configurable by storing the relationship in a stickers database.

Abstract: A stickering system and method of tracking and managing human-machine mediated actions, the system and method involving linking meta-process(es), process(es) and actions from an actions database to stickers, the stickers are from a stickers database being built upon stickering contextually important electronic text related to various actions, processes and meta-processes. The stickering method and system may further be sensitive to the context-within-context by selecting a context-appropriate actions, processes and meta-processes from an actions database.