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Systems theory in anthropology

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Through Complexity, Systems theory and Social science

Complex systems in nature involve a dynamic interaction of many variables (e.g. animals, plants, insects and bacteria; predators and prey; climate, the seasons and the weather, etc.). These interactions can adapt to changing conditions but maintain a balance both between the various parts and the system as a whole; this balance is maintained through homeostasis. Human societies are also complex systems. Work to define complex systems scientifically arose first in mathematics in the late 19th century, and was later applied to biology in the 1920s to explain ecosystems, then later to social sciences.

Anthropologist Gregory Bateson is the most influential and earliest propagator of systems theory in social sciences. In the 1940s, as a result of the Macy conferences, he immediately recognized its application to human societies with their many variables and the flexible but sustainable balance that they maintain. Bateson describes a system as "any unit containing feedback structure and therefore competent to process information." Thus an open system allows interaction between concepts and materiality or subject and the environment or abstract and real. In natural science, systems theory has been a widely used approach. Austrian biologist, Karl Ludwig von Bertalanffy, developed the idea of the general systems theory (GST). The GST is a multidisciplinary approach of system analysis.

Main concepts in systems theory

Non-representational and non-referential

One of the central elements of the systems theory is to move away from representational systems to the non-representation of things. What this means is that instead of imposing mental concepts, which reduce complexity of a materiality by limiting the variations or malleability onto the objects, one should trace the network of things.

According to Gregory Bateson, "ethos, eidos, sociology, economics, cultural structure, social structure, and all the rest of these words refer only to scientists' ways of putting the jigsaw puzzle." Tracing rather than projecting mental images brings into sight a material reality that has been obscured under universalising concepts.

Non-Cartesian

Since the European Enlightenment, Western philosophy has placed the individual, as an indispensable category, at the center of the universe. René Descartes' famous aphorism, 'I think therefore I am' asserts that a person is a rational subject whose process of thinking brings the human into existence. The Cartesian subject, therefore, is a scientific individual who imposes mental concepts on things in order to control nature or simply what exists outside his mind. This subject-centered view of the universe reduces the complex nature of the universe. One of the biggest challenges for system theory is thus to displace or de-center the Cartesian subject as the center of the universe and as a rational being.

The objective is to displace human beings from a position of supreme entity and situate them instead as beings within a contextual universe. Humans are not independent Cartesian subjects but dwell within nature. This brings back the human back to its original place and introduces nature in the equation. Systems theory, therefore, encourages a non-unitary subject in opposition to a Cartesian subject.

Complexity

Once the Cartesian individual is dissolved, social sciences are able to move away from a subject-centered view of the world. The challenge is then how to represent empirical reality without reducing the complexity of the system. To put it simply, instead of representing things by us let the things speak through us. These questions led materialist philosophers such as Deleuze and Guattari to develop a "science" for understanding reality without imposing mental projections. The way they encourage is instead of throwing conceptual ideas we should do tracing. Tracing requires one to connect disparate assemblages or appendages not into a unified center but rather into a Rhizome or an open system.

Open system and closed system

Ludwig Bertalanffy describes two types of systems: open system and closed system. The open systems are systems that allow interactions between its internal elements and the environment. An open system is defined as a "system in exchange of matter with its environment, presenting import and export, building-up and breaking-down of its material components." For example, living organism. Closed systems, on the other hand, are considered to be isolated from their environment. For instance, thermodynamics that applies to closed systems.

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