This paper presents the Interactive Behavior Change Model (IBCM 8.0), a system that integrates behavior change principles from neuroscience, psychology, and behavioral science into a behavioral meta-theory. With its broad, application-agnostic nature, the IBCM provides insight into behavior change, how it operates, and offers an alternative explanation for why various behavior change models work or do not work. It has applications as a behavioral system for education, research, analysis, intervention design, and implementation in various technologies, especially self-adaptive systems run by rule-based engines or artificial intelligence (AI). Due to space limits, this paper covers the model structure and theory with a limited high-level overview of its ontology.<p></p>