❄️Systems Thinking: On Homeostasis (Quotes)

"The homeostatic principle does not apply literally to the functioning of all complex living systems, in that in counteracting entropy they move toward growth and expansion." (Daniel Katz, "The Social Psychology of Organizations", 1966)

"A more viable model, one much more faithful to the kind of system that society is more and more recognized to be, is in process of developing out of, or is in keeping with, the modern systems perspective (which we use loosely here to refer to general systems research, cybernetics, information and communication theory, and related fields). Society, or the sociocultural system, is not, then, principally an equilibrium system or a homeostatic system, but what we shall simply refer to as a complex adaptive system." (Walter F Buckley, "Society as a complex adaptive system", 1968)

"We have argued at some length in another place that the mechanical equilibrium model and the organismic homeostasis models of society that have underlain most modern sociological theory have outlived their usefulness." (Walter F Buckley, "Society as a complex adaptive system", 1968)

"Open systems, in contrast to closed systems, exhibit a principle of equifinality, that is, a tendency to achieve a final state independent of initial conditions. In other words, open systems tend to 'resist' perturbations that take them away from some steady state. They can exhibit homeostasis." (Anatol Rapaport, "The Uses of Mathematical Isomorphism in General System Theory", 1972)

"The point of departure is the measurement problem, as it appears in physics; the manner in which measurements allow us to characterize subsystems; the role of such subsystems as tools in system analysis; and the relationships existing between different ways of perceiving or interacting with the same system. Our conclusions are: (1) there exists no universal family of of analytic units appropriate for the treatment of all interactions; (2) there are on the contrary many such families of analytic units, all of which are equally 'real' and entitled to be treated on the same footing; (3) the appropriate use of natural interactions can enormously extend the class of physical observables accessible to us; (4) the concept of a model must be formulated, in its most general terms, as the sharing of a subsystem by two otherwise distinct systems, capable of imposing the same dynamic on an appropriate system with which they can both interact. We establish these results through a variety of terminologies which turn out to be equivalent: stability, invariance, symmetry, homeostasis." (Robert Rosen Introduction, "Fundamentals of Measurement and Representation of Natural Systems", 1978)

"Every system of whatever size must maintain its own structure and must deal with a dynamic environment, i.e., the system must strike a proper balance between stability and change. The cybernetic mechanisms for stability (i.e., homeostasis, negative feedback, autopoiesis, equifinality) and change" (i.e., positive feedback, algedonodes, self-organization) are found in all viable systems." (Barry Clemson, "Cybernetics: A New Management Tool", 1984)

"Grossly oversimplifying, the following models of mind can be discerned in the welter of contemporary psychological theorizing. The first model of the mind is mind as an energy system. This is represented by early psychoanalytical theory, particularly by its dynamic and economic versions. It has also represented by ecologists (Tinbergen, 1951) and by drive reduction theorists. In this model, the stress is on the concept of motivation, conceived as drive. Common to the theories that regard mind as an energy system are the ideas of homeostasis and closed system. The metaphor of energy is often used by motivation theorists who view drives, instincts, and needs as types of forces." (Thaddus E Weckowicz, "Models of Mental Illness", 1984)

"When defining living systems, the term dynamic equilibrium is essential. It does not imply something which is steady or stable. On the contrary, it is a floating state characterized by invisible movements and preparedness for change. To be in dynamic equilibrium is adapting adjustment to balance. Homeostasis stands for the sum of all control functions creating the state of dynamic equilibrium in a healthy organism. It is the ability of the body to maintain a narrow range of internal conditions in spite of environmental changes." (Lars Skyttner, "General Systems Theory: Problems, Perspective, Practice", 2005)

"General systems theory is concerned with open systems. It explains how living systems function through importing energy from a pre-given environment, across the system’s boundary with that environment, transforming the imports into a form of functioning, and then exporting waste to the environment. The boundary is a given and its formation is not due to the functioning of the system. The theory explains how the system sustains homeostasis, or equilibrium, through adaptation to the environment. The history of the system is not important in that what matters is the process of adaptation to the current environment. The principle of equifinality means that the state of homeostasis can be achieved from a large number of starting points and it is this that renders history unimportant." (Ralph D Stacey, "Strategic Management and Organisational Dynamics: The Challenge of Complexity" 5th Ed., 2007)

"Cybernetics, and other publications of this kind, should not, however, be belittled. It has contributed to popularizing a way of thinking in communication theory terms, such as feedback, information, control, input, output, stability, homeostasis, prediction, and filtering. On the other hand, it also has contributed to spreading mistaken ideas of what mathematics really means." (Hans Freudenthal, "Norbert Wiener", 2008)

"The principles of equifinality, multifinality, homeostasis and heterostasis have farstretching implications for the application of deductive reasoning The paradox of equifinality and multifinality means that when observing the behaviour of a system, it might be moving towards a final state irrespective of the initial state or moving away from an initial state without being able to predict the final outcome." (Rob Dekkers, "Applied Systems Theory", 2014)