General Systems Theory · Module 1 of 2
What is a System?
A system is a set of elements in interaction. Three things are required:
- Elements — the components or parts
- Relationships — the interactions between elements
- Function or purpose — what the system does as a whole
This seems simple, but the emphasis on interaction is everything. A pile of bricks is not a system. A wall is. The difference is not the bricks — it is the relationships between them and the emergent property (structural load-bearing) that arises from those relationships.
Boundary and Environment
Every system has a boundary — a distinction between what is inside the system and what is outside. This boundary is often conceptual rather than physical.
The environment is everything outside the boundary that interacts with the system. The choice of boundary is one of the most consequential analytical decisions in systems thinking. Draw it too narrowly and you miss critical feedback. Draw it too broadly and the system becomes unmanageable.
The boundary is not discovered — it is chosen. A different boundary creates a different system.
Open and Closed Systems
A closed system exchanges nothing with its environment. In practice, truly closed systems exist only in thermodynamics thought experiments. All living and social systems are open.
An open system exchanges matter, energy, or information with its environment. This exchange is what allows living systems to maintain order — a property called negative entropy or negentropy.
The implication: you cannot understand an open system without understanding its environment. The system and its context are inseparable.
Wholeness
The principle of wholeness holds that the whole has properties not present in any of its parts. This is not mystical — it is structural. The property emerges from the relationships between parts, not from the parts themselves.
Examples: - Wetness is a property of water, not of hydrogen or oxygen atoms - Consciousness is a property of a brain, not of any neuron - A market price is a property of an economy, not of any buyer or seller
This principle directly challenges the reductionist assumption that understanding parts is sufficient to understand wholes. It is the foundational claim of all systems science.
Equifinality
In open systems, the same final state can be reached from different initial conditions and by different paths. Bertalanffy called this equifinality.
This has a profound implication: in living and social systems, you cannot reliably infer the history of a system from its current state, nor can you guarantee a specific path to a desired outcome. The system has multiple routes to the same end.
Continue to Module 2: System Properties and Behavior Back to General Systems Theory overview