| General Systems Theory | |
|---|---|
| Room | Systems |
| Field | Systems theory |
| Known for | Isomorphism across systems, holism |
| Key figures | Bertalanffy, Boulding |
General Systems Theory — Field Brief
Etymology: systems (interconnected whole) + theory (principles explaining them). The project of finding universal principles that apply across all systems regardless of domain.
General Systems Theory (GST) emerged not from a single breakthrough but from a convergence of parallel discoveries across disciplines in the 1940s. Several foundational contributions landed within a few years of each other:
Bertalanffy later called this coincidence "one of those instances where ideas are in the air." These five contributions formed the core toolkit of systems science.
Austrian biologist. The most central figure in GST. Key work: General System Theory (1968).
His central problem: Classical science was reductionist — break things into parts and study them in isolation. This worked for closed systems (thermodynamics, mechanics) but failed for living systems. Biology, psychology, sociology required a different approach.
The open systems breakthrough:
Classical thermodynamics applied only to closed systems — no exchange with environment. Living things are open systems — continuous inflow and outflow, building up and breaking down of components, maintaining a "steady state" distinct from chemical equilibrium. Equilibrium = death.
Bertalanffy's key insight: "Life is not maintenance or restoration of equilibrium but essentially maintenance of disequilibria." Reaching equilibrium means death and decay.
What GST claims:
Similar principles of organization appear across all systems — biological, mechanical, social, ecological. These "isomorphisms" suggest there are general laws of systems that cut across disciplines.
Key concepts from GST:
Mathematical model: Bertalanffy's 1934 growth equation is still used in biology today — models how organisms grow over time as a function of their current size.
MIT mathematician. Founded cybernetics — the science of feedback and control in living and mechanical systems.
Origins: During WWII, Wiener worked with Julian Bigelow on automatic range-finders for antiaircraft guns. These servomechanisms had to predict airplane trajectories by extrapolating from past trajectories — using feedback from the past to predict the future. Two observations struck Wiener:
1. These machines showed seemingly "intelligent" behavior — recording experience and predicting the future
2. They had a strange "disease" — if friction was reduced too much, the system entered uncontrollable oscillations
Wiener asked his collaborator Arturo Rosenblueth: could this feedback pathology explain similar behaviors in living systems? The answer was yes — and cybernetics was born.
Core of cybernetics: Feedback loops as the fundamental mechanism of control and communication in both machines and living organisms. The thermostat as the paradigm case: a system that senses deviation from a goal and acts to reduce it.
The book: Cybernetics: Or Control and Communication in the Animal and the Machine (1948). One of the founding texts of information age thinking.
Wiener's key contributions:
British psychiatrist and cybernetician. Law of Requisite Variety (1956): for a control system to successfully regulate another system, the controller must have at least as many possible actions as the variety of states the controlled system can exhibit.
In plain terms: to control a system with 100 possible states, you need at least 100 possible control actions. If you only have 10 actions available, you cannot fully control 100 states.
This law is fundamental to understanding why control is hard, why bureaucracies fail, and why Yaneer Bar-Yam's work on US ungovernability has a mathematical foundation.
Essential variety: Ashby's measure of the number of possible states a system can occupy. Control requires matching or exceeding the variety of what you're trying to control.
Economist and social scientist. Joined Bertalanffy in founding the Society for General Systems Research (1954). Contributed ecological and social systems perspectives. Key contribution: General Systems Theory as a meta-discipline — a language that could bridge specialized fields.
Mexican-American physician and researcher. Wiener and Bigelow's collaborator at MIT. Co-authored the landmark 1943 paper "Behavior, Purpose and Teleology" with Wiener and Bigelow — the paper that launched cybernetics. His work on purposive behavior in biological systems established that goal-directed behavior could be explained through feedback without invoking vitalism or mysticism.
Russian-Belgian physicist and chemist. Nobel Prize in Chemistry (1977). Extended systems theory into dissipative structures and self-organization.
Key breakthrough: Systems far from thermodynamic equilibrium (open systems exchanging energy) can spontaneously develop order from chaos — ordered structures that are maintained by a constant flow of energy through the system.
Dissipative structures: ordered structures (like convection cells in heated fluid, or living organisms) that exist only because they constantly dissipate energy. They're maintained by a flow, not by internal stability.
Implications: Far from equilibrium, systems can undergo phase transitions — abrupt reorganizations to new, more complex states of order. This is the mathematical basis for how complex structures spontaneously emerge.
Connection to GST: Prigogine's work provided the thermodynamic foundation for why open systems can develop complexity. Bertalanffy's qualitative insight (living systems maintain disequilibrium) now had a quantitative basis.
Founded 1954, led by Bertalanffy. Early members included:
The Josiah Macy Foundation sponsored interdisciplinary conferences from 1946–1953, bringing together Wiener, Mead, Morgenstern, and others to cross-pollinate ideas across biology, engineering, anthropology, and economics.
What GST was trying to achieve: A unified scientific language for describing systems across all domains. Not a single theory of everything, but a framework of concepts (feedback, equilibrium, emergence, hierarchy) that apply across physics, biology, psychology, and society.
Got right:
Overreached:
Legacy: GST didn't produce a unified science. But its key concepts — feedback, emergence, open systems, self-organization, hierarchy — became the conceptual vocabulary of complexity science, systems dynamics, and complex adaptive systems. It prepared the intellectual ground for the more mathematically rigorous work that followed.