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Initially developed to support reflective reasoning in computer vision, over the past ten years GRAVA has been applied to a wide range of problems including vision, language, networks, cyber security, and neural modeling. In this paper we provide an overview of the key concepts in GRAVA, how they have evolved over the ten year history, and how they have been applied.