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A glossary of terms relating to systems theory.

A[edit]

Adaptive capacity: An important part of the resilience of systems in the face of a perturbation, helping to minimise loss of function in individual human, and collective social and biological systems.
Allopoiesis: The process whereby a system produces something other than the system itself.
Allostasis: The process of achieving stability, or homeostasis, through physiological or behavioral change.
Autopoiesis: The process by which a system regenerates itself through the self-reproduction of its own elements and of the network of interactions that characterize them. An autopoietic system renews, repairs, and replicates or reproduces itself in a flow of matter and energy. Note: from a strictly Maturanian point of view, autopoiesis is an essential property of biological/living systems.

B[edit]

Black box: A technical term for a device or system or object when it is viewed primarily in terms of its input and output characteristics.
Boundaries: The parametric conditions, often vague, always subjectively stipulated, that delimit and define a system and set it apart from its environment.

C[edit]

Cascading failure: Failure in a system of interconnected parts, where the service provided depends on the operation of a preceding part, and the failure of a preceding part can trigger the failure of successive parts.
Closed system: A system which can exchange energy (as heat or work), but not matter, with its surroundings.
Complexity: A complex system is characterised by components that interact in multiple ways and follow local rules. A complicated system is characterised by its layers.
Culture: The result of individual learning processes that distinguish one social group of higher animals from another. In humans culture is the set of interrelated concepts, products and activities through which humans rahil group 5036 themselves, interact with each other, and become aware of themselves and the world around them.

D[edit]

Development: The process of liberating a system from its previous set of limiting conditions. It is an amelioration of conditions or quality.
Dissipative structure: A term invented by Ilya Prigogine to describe complex chemical structures undergoing the process of chemical change through the dissipation of entropy into their environment, and the corresponding importation of 'negentropy' from their environment. Also known as syntropic systems.

E[edit]

Embeddedness: A state in which one system is nested in another system.
Emergence: The appearance of novel characteristics exhibited on the level of the whole ensemble, but not by the components in isolation.
Enantiostasis: The ability of an open system, especially a living organism, to stabilize and conserve function in spite of an unstable environment.
Entanglement: A state in which the manner of being, or form of existence, of one system is inextricably tied to that of another system or set of systems.
Entropy: In physics, entropy is a measure of energy that is expended in a physical system but does no useful work, and tends to decrease the organizational order of the system.
Environment: The context within which a system exists. It is composed of all things that are external to the system, and it includes everything that may affect the system, and may be affected by it at any given time.
Equifinality: In open systems, the principle that the same final state can be reached from different initial conditions, or in different ways.^[1]
Evolution: A tendency toward greater structural complexity, ecological and/or organizational simplicity, more efficient modes of operation, greater dynamic harmony, etc. As a cosmic process, it is not limited to the domain of biological phenomena, but extends to include all aspects of change in open dynamic systems with a throughput of information and energy.
Evolutionary systems: A type of system which reproduces with mutation.

F[edit]

Feedback: A functional monitoring signal obtained from a given dynamic and continuous system. A feedback function only makes sense if this monitoring signal is looped back into an eventual control structure within a system and compared with a known desirable state. The difference between the feedback monitoring signal and the desirable state of the system gives the notion of error. The amount of error can guide corrective actions in the system that can bring the system back to the desirable state.

H[edit]

Heterarchy: An ordering of things in which there is no single peak or leading element, and in which the element that is dominant at a given time depends on the total situation. The term is often used in contrast to hierarchy, i.e. a vertical arrangement of entities (systems and their subsystems), usually ordered from the top downwards rather than from the bottom upwards.
Holarchy: A concept invented by Arthur Koestler to describe behavior that is partly a function of individual nature and partly a function of the nature of the embedding system, generally operating in a bottom upwards fashion.
Holism: A non-reductionist descriptive and investigative strategy for generating explanatory principles of whole systems. Attention is focused on the emergent properties of the whole rather than on the reductionist behavior of the isolated parts.
Holon (philosophy): A whole in itself as well as a part of a larger system.
Homeorhesis: A concept encompassing dynamical systems which return to a trajectory, as opposed to systems which return to a particular state, which is termed homeostasis.
Homeostasis: The property of either an open system or a closed system (especially a living organism) which regulates its internal environment so as to maintain a stable, constant condition.
Human activity systems: Designed social systems organized for a purpose, which they attain by carrying out specific functions.

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I[edit]

Isolated system: A system in which the total energy-mass is conserved without any external exchange happening.

L[edit]

Lowerarchy: A specific type of hierarchy involving a 'bottom up' arrangement of entities such that the few are influenced by the many.

M[edit]

Metastability: The ability of a non-equilibrium state to persist for some period of time.
Model building: A disciplined inquiry by which a conceptual (abstract) representation of a system is constructed or a representation of expected outcomes/output is portrayed.

O[edit]

Open System Model (basics)