A Quote by Kenneth E. Boulding

A second possible approach to general systems theory is through the arrangement of theoretical systems and constructs in a hierarchy of complexity, roughly corresponding to the complexity of the "individuals" of the various empirical fields... leading towards a "system of systems." [...] I suggest below a possible arrangement of "levels" of theoretical discourse...(vi) [...] the "animal" level, characterized by increased mobility, teleological behavior and self-awareness...
One advantage of exhibiting a hierarchy of systems in this way is that it gives us some idea of the present gaps in both theoretical and empirical knowledge. Adequate theoretical models extend up to about the fourth level, and not much beyond. Empirical knowledge is deficient at practically all levels.
Before the 1940s the terms "system" and "systems thinking" had been used by several scientists, but it was Bertalanffy's concepts of an open system and a general systems theory that established systems thinking as a major scientific movement
General Systems Theory is a name which has come into use to describe a level of theoretical model-building which lies somewhere between the highly generalized constructions of pure mathematics and the specific theories of the specialized disciplines. Mathematics attempts to organize highly general relationships into a coherent system, a system however which does not have any necessary connections with the "real" world around us. It studies all thinkable relationships abstracted from any concrete situation or body of empirical knowledge.
With the subsequent strong support from cybernetics , the concepts of systems thinking and systems theory became integral parts of the established scientific language, and led to numerous new methodologies and applications -- systems engineering, systems analysis, systems dynamics, and so on.
Special emphasis should be laid on this intimate interrelation of general statements about empirical fact with the logical elements and structure of theoretical systems.
As soon as science has emerged from its initial stages, theoretical advances are no longer achieved merely by a process of arrangement. Guided by empirical data, the investigator rather develops a system of thought which, in general, is built up logically from a small number of fundamental assumptions, the so-called axioms. We call such a system of thought a theory. The theory finds the justification for its existence in the fact that it correlates a large number of single observations, and it is just here that the 'truth' of the theory lies.
The general problem with ambitious systems is complexity. [...] it is important to emphasize the value of simplicity and elegance, for complexity has a way of compounding difficulties.
Human beings, viewed as behaving systems, are quite simple. The apparent complexity of our behavior over time is largely a reflection of the complexity of the environment in which we find ourselves.
Human beings, viewed as behaving systems, are quite simple. The apparent complexity of our behavior over time is largely a reflection of the complexity of the environment in which we find ourselves.
Around the world there are certain marital systems, certain physical systems, political systems, social systems, and all those things are kind of turned on their head but represented in various ways within "The Lobster."
The driver of the power of intelligent systems is the knowledge the systems have about their universe of discourse, not the sophistication of the reasoning process the systems employ.
Our ancient yogis and sages were not just medical healers, but systems scientists and systems engineers, who saw the body and the universe as an interconnected engineering system, a system of systems that are governed by fundamental engineering systems principles.
Working in theoretical systems can take away the juice. It can also be very beautiful, but when you're trying to satisfy a theoretical principle rather than a sonic reality, then it can become dry.
I believe that the best way to create good living conditions for any animal, whether it's a captive animal living in a zoo, a farm animal or a pet, is to base animal welfare programs on the core emotion systems in the brain. My theory is that the environment animals live in should activate their positive emotions as much as possible, and not activate their negative emotions any more than necessary. If we get the animal's emotions rights, we will have fewer problem behaviors... All animals and people have the same core emotion systems in the brain.
If the process of life is about moving toward increased complexity and organization, a sort of sublime unfolding of greater and greater self-organizing systems, then we're actually doing pretty well.
It is science that brings us an understanding of the true complexity of natural systems. The insights from the science of ecology are teaching us how to work with the checks and balances of nature, and encouraging a new, rational, limited-input, environmentally sound means of vineyard management that offers a third way between the ideologically driven approach of Biodynamics and conventional chemical-based agricultural systems.
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