Computer Science
New Framework Challenges the Separation of Structure and Behavior in Systems Theory
A research paper proposes that system structure and behavior should be understood as inseparable aspects of a unified process, not as independent dimensions.
Traditional systems theory has long treated structure—the way components are organized—and behavior—how a system evolves over time—as distinct analytical concepts that can be studied separately. A new paper challenges this foundational assumption, arguing that the separation creates significant obstacles when trying to explain system identity, especially in contexts involving transformation, emergence, or defining system boundaries.
The Core Problem#
The conventional approach assumes that structure and behavior exist as independently identifiable entities, which are then connected through various modeling techniques. This framework has struggled to provide satisfying explanations for what makes a system itself across time, particularly when systems undergo significant change or when new properties emerge from their components' interactions.
Structure-Behavior Coalescence#
The paper introduces Structure-Behavior Coalescence (SBC) as an alternative perspective. Rather than treating structure and behavior as separate phenomena that must be bridged, SBC proposes viewing them as two sides of the same coin—mutually dependent aspects of a single, unified systemic process. Under this framing, a system's identity doesn't arise from how well its structure corresponds to its observed behavior, but from the ongoing, dynamic interplay between the two.
Implications for Systems Understanding#
By reconceptualizing system identity as rooted in this sustained co-determination of organization and dynamics, the SBC approach offers a potentially more coherent way to explain emergence, boundary formation, and how systems maintain their identity through change. The authors ground this reframing within cybernetic theory, connecting it to broader traditions in systems thinking that emphasize feedback and self-reference.
The work is currently available as a preprint on arXiv.