Bertalanffyvekstmodellen

Bertalanffyvek is a fictional concept used in discussions of general systems theory and complexity science. The term blends the name of Ludwig von Bertalanffy, a founder of general systems theory, with a suffixed form intended to suggest evolving growth in networks. It is not an established term in empirical science, but appears in speculative or educational contexts to illustrate multi-scale dynamics.

Conceptually, Bertalanffyvek describes networks composed of heterogeneous agents connected by interactions that can change across multiple scales. Growth and adaptation are governed by rules that combine element replication, link formation, and feedback mechanisms, with the aim of maintaining systemic coherence. Proponents emphasize properties such as emergent behavior, modular organization, and potential scale invariance, while acknowledging that precise definitions vary between authors.

Modeling approaches attributed to Bertalanffyvek commonly use agent-based simulations, differential equations, or dynamic network models. Typical metrics discussed include degree distributions, clustering, modularity, and robustness under perturbation. The framework is often presented as a way to conceptually link local interactions to global structure, highlighting how feedback and open-system exchange influence development over time.

Applications and contexts cited in speculative or instructional material range from theoretical ecology and economics to infrastructure networks and social systems. In fiction or pedagogical settings, Bertalanffyvek serves as a thought tool to examine resilience, cascading effects, and the emergence of organized complexity.

Criticism centers on its lack of a single, canonical definition and the risk of conflating well-established concepts from network theory and general systems theory. As a result, Bertalanffyvek remains primarily a teaching and thought-experiment construct rather than a formal scientific term.