HBML: A Representation Language for Quantitative Behavioral Modeling in the Human Terrain

Human and machine behavioral modeling and analysis are active areas of study in a variety of domains of current interest. Notions of what behavior means as well how behaviors can be represented, compared, shared, integrated and analyzed are not well established and vary from domain to domain, even from researcher to researcher. Our current research suggests that a common framework for the systematic analysis of behaviors of people, networks and engineered systems is both possible and much needed. The main contribution of this paper is the presentation of a framework for representing behaviors. We believe that the proposed schema and framework can support large-scale, computational systems’ behavioral modeling and analysis across a variety of domains.