Abstract for: O8 Interaction Grammar: Toward a Cross-Domain Framework for Interactional Structure in Complex Systems

Complex systems are often described through domain-specific models, such as ecological succession, biological cycles, computational architectures, or control systems. While effective within individual disciplines, such models frequently obscure structural similarities between systems operating in different contexts. The absence of a shared descriptive framework limits the ability to structurally articulate and compare interactions, recognize analogous dynamics, and transfer insights across scientific domains. This work introduces O8 Interaction Grammar, proposed as a minimal, descriptive framework for articulating interactional structure across heterogeneous domains. The framework identifies eight primitive relational roles associated with differentiation, organization, selection, formation, expression, propagation, resolution, and integration, within a contextual admissibility field. These invariant roles form a dependency-ordered descriptive manifold for articulating interactional structure across the full relational resolution of a bounded interaction. Preliminary mappings were developed across biological physiology, physical oscillatory systems, computational execution systems, ecological succession, cognitive processes, and formal methodological structures such as the Scientific Method. In each case, the observed interactions were found to be compatible with the proposed grammar. The mappings suggest that the relational roles may be consistently identified across domains when appropriate observational resolution is applied. The current research remains exploratory, but preliminary findings suggest that O8 Interaction Grammar may provide a useful descriptive scaffold for identifying structural similarities across complex systems without replacing domain-specific models. Future work will refine the definitions of the dynamic roles within the admissibility architecture, expand cross-domain mappings, and evaluate practical applications in systems science, ecology, cognition, and learning systems, including comparative analysis and intervention-oriented modeling of complex adaptive interactions. language stabilization, structural clarification, and consistency checking