# or relational mathematics, including non-metrical fields such as network and graph theory. - Ludwig von Bertalanffy

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# or relational mathematics, including non-metrical fields such as network and graph theory.

English
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About Ludwig von Bertalanffy

Ludwig von Bertalanffy (September 19, 1901 – June 12, 1972) was an Austrian-born biologist, who grew up in Austria and subsequently worked in Vienna, London, Canada, and the USA. He is known as one of the founders of general systems theory; an interdisciplinary practice that describes systems with interacting components, applicable to biology, cybernetics and other fields. Bertalanffy proposed that the classical laws of thermodynamics applied to closed systems, but not necessarily to "open systems," such as living things. His mathematical model of an organism's growth over time, published in 1934, is still in use today.

Also Known As

Alternative Names: Karl Ludwig von Bertalanffy
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Thus, there exist models, principles, and laws that apply to generalized systems or their subclasses, irrespective of their particular kind, the nature of their component elements, and the relations or „forces‟ between them. It seems legitimate to ask for a theory, not of systems of a more or less special kind, but of universal principles applying to systems in general. In this way, we postulate a new discipline called General Systems Theory. Its subject matter is the formulation and derivation of those principles, which are valid for „systems‟ in general.

Modern science is characterized by its ever-increasing specialization, necessitated by the enormous amount of data, the complexity of techniques and of theoretical structures within every field. Thus science is split into innumerable disciplines continually generating new subdisciplines. In consequence, the physicist, the biologist, the psychologist and the social scientist are, so to speak, encapsulated in their private universes, and it is difficult to get word from one cocoon to the other.

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# Game theory, analyzing in a novel mathematical framework, rational competition between two or more antagonists for maximum gain and minimum loss.

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