System

A system is a group of interacting or interrelated elements that act according to a set of rules to form a unified whole.[1] A system, surrounded and influenced by its environment, is described by its boundaries, structure and purpose and expressed in its functioning. Systems are the subjects of study of systems theory and other systems sciences.

Systems have several common properties and characteristics, including structure, function(s), behavior and interconnectivity.

Etymology

The term system comes from the Latin word systēma, in turn from Greek σύστημα systēma: "whole concept made of several parts or members, system", literary "composition".[2]

History

According to Marshall McLuhan,

"System" means "something to look at". You must have a very high visual gradient to have systematization. But in philosophy, prior to Descartes, there was no "system". Plato had no "system". Aristotle had no "system".[3][4]

In the 19th century the French physicist Nicolas Léonard Sadi Carnot, who studied thermodynamics, pioneered the development of the concept of a system in the natural sciences. In 1824 he studied the system which he called the working substance (typically a body of water vapor) in steam engines, in regards to the system's ability to do work when heat is applied to it. The working substance could be put in contact with either a boiler, a cold reservoir (a stream of cold water), or a piston (on which the working body could do work by pushing on it). In 1850, the German physicist Rudolf Clausius generalized this picture to include the concept of the surroundings and began to use the term working body when referring to the system.

The biologist Ludwig von Bertalanffy became one of the pioneers of the general systems theory. In 1945 he introduced 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 relation or 'forces' between them.[5]

Norbert Wiener and Ross Ashby, who pioneered the use of mathematics to study systems, carried out significant development in the concept of a system.[6][7]

In the 1980s John Henry Holland, Murray Gell-Mann and others coined the term complex adaptive system at the interdisciplinary Santa Fe Institute.

Concepts
Environment and boundaries
Systems theory views the world as a complex system of interconnected parts. One scopes a system by defining its boundary; this means choosing which entities are inside the system and which are outside—part of the environment. One can make simplified representations (models) of the system in order to understand it and to predict or impact its future behavior. These models may define the structure and behavior of the system.
Natural and human-made systems
There are natural and human-made (designed) systems. Natural systems may not have an apparent objective but their behavior can be interpreted as purposeful by an observer. Human-made systems are made with various purposes that are achieved by some action performed by or with the system. The parts of a system must be related; they must be "designed to work as a coherent entity" — otherwise they would be two or more distinct systems.
Open systems have input and output flows, representing exchanges of matter, energy or information with their surroundings.
Theoretical framework
Most systems are open systems, exchanging matter and energy with their respective surroundings; like a car, a coffeemaker, or Earth. A closed system exchanges energy, but not matter, with its environment; like a computer or the project Biosphere 2. An isolated system exchanges neither matter nor energy with its environment. A theoretical example of such system is the Universe.
Process and transformation process
An open system can also be viewed as a bounded transformation process, that is, a black box that is a process or collection of processes that transforms inputs into outputs. Inputs are consumed; outputs are produced. The concept of input and output here is very broad. For example, an output of a passenger ship is the movement of people from departure to destination.
System model
A system comprises multiple views. Man-made systems may have such views as concept, analysis, design, implementation, deployment, structure, behavior, input data, and output data views. A system model is required to describe and represent all these views.
Systems architecture
A systems architecture, using one single integrated model for the description of multiple views, is a kind of system model.

Subsystem

A subsystem is a set of elements, which is a system itself, and a component of a larger system. The IBM Mainframe Job Entry Subsystem family (JES1, JES2, JES3, and their HASP/ASP predecessors) are examples. The main elements they have in common are the components that handle input, scheduling, spooling and output; they also have the ability to interact with local and remote operators.

A subsystem description is a system object that contains information defining the characteristics of an operating environment controlled by the system.[8] The Data tests are performed to verify the correctness of the individual subsystem configuration data (e.g. MA Length, Static Speed Profile, …) and they are related to a single subsystem in order to test its Specific Application (SA).[9]

Analysis

There are many kinds of systems that can be analyzed both quantitatively and qualitatively. For example, in an analysis of urban systems dynamics, A .W. Steiss[10] defined five intersecting systems, including the physical subsystem and behavioral system. For sociological models influenced by systems theory, Kenneth D. Bailey[11] defined systems in terms of conceptual, concrete, and abstract systems, either isolated, closed, or open. Walter F. Buckley[12] defined systems in sociology in terms of mechanical, organic, and process models. Bela H. Banathy[13] cautioned that for any inquiry into a system understanding its kind is crucial, and defined "natural" and "designed", i. e. artificial, systems.

It is important not to confuse these abstract definitions. For example, natural systems include subatomic systems, living systems, the Solar System, galaxies, and the Universe, while artificial systems include man-made physical structures, hybrids of natural and artificial systems, and conceptual knowledge. The human elements of organization and functions are emphasized with their relevant abstract systems and representations.

Artificial systems inherently have a major defect: they must be premised on one or more fundamental assumptions upon which additional knowledge is built. This is in strict alignment to the Gödel's incompleteness theorems. The Artificial system can be defined as a "consistent formalized system which contains elementary arithmetic".[14] These fundamental assumptions are not inherently deleterious, but they must by definition be assumed as true, and if they are actually false then the system is not as structurally integral as is assumed (i.e. it is evident that if the initial expession is false, then the Artificial system is not a "consistent formalized system"). For example, in geometry this is very evident in the postulation of theorems and extrapolation of proofs from them.

George J. Klir[15] maintained that no "classification is complete and perfect for all purposes", and defined systems as abstract, real, and conceptual physical systems, bounded and unbounded systems, discrete to continuous, pulse to hybrid systems, etc. The interactions between systems and their environments are categorized as relatively closed and open systems. It seems most unlikely that an absolutely closed system can exist or, if it did, that it could be known by man. Important distinctions have also been made[16] between hard systems – technical in nature and amenable to methods such as systems engineering, operations research, and quantitative systems analysis – and soft systems that involve people and organisations, commonly associated with concepts developed by Peter Checkland and Brian Wilson through Soft Systems Methodology (SSM) involving methods such as action research and emphasis of participatory designs. Where hard systems might be identified as more "scientific", the distinction between them is often elusive.

Cultural system

A cultural system may be defined as the interaction of different elements of culture. While a cultural system is quite different from a social system, sometimes both together are referred to as a "sociocultural system". A major concern of the social sciences is the problem of order.

Economic system
Main article: Economic system

An economic system is a mechanism (social institution) which deals with the production, distribution and consumption of goods and services in a particular society. The economic system is composed of people, institutions and their relationships to resources, such as the convention of property. It addresses the problems of economics, like the allocation and scarcity of resources.

The international sphere of interacting states is described and analysed in systems terms by several international relations scholars, most notably in the neorealist school. This systems mode of international analysis has however been challenged by other schools of international relations thought, most notably the constructivist school, which argues that an over-large focus on systems and structures can obscure the role of individual agency in social interactions. Systems-based models of international relations also underlies the vision of the international sphere held by the liberal institutionalist school of thought, which places more emphasis on systems generated by rules and interaction governance, particularly economic governance.

Applications

Systems modeling is generally a basic principle in engineering and in social sciences. The system is the representation of the entities under concern. Hence inclusion to or exclusion from system context is dependent on the intention of the modeler.

No model of a system will include all features of the real system of concern, and no model of a system must include all entities belonging to a real system of concern.

Information and computer science

In computer science and information science, system is a hardware system, software system, or combination, which has components as its structure and observable inter-process communications as its behavior. Again, an example will illustrate: There are systems of counting, as with Roman numerals, and various systems for filing papers, or catalogues, and various library systems, of which the Dewey Decimal Classification is an example. This still fits with the definition of components which are connected together (in this case to facilitate the flow of information).

System can also refer to a framework, aka platform, be it software or hardware, designed to allow software programs to run. A flaw in a component or system can cause the component itself or an entire system to fail to perform its required function, e.g., an incorrect statement or data definition[17]

Engineering and physics

In engineering and physics, a physical system is the portion of the universe that is being studied (of which a thermodynamic system is one major example). Engineering also has the concept of a system referring to all of the parts and interactions between parts of a complex project. Systems engineering is the branch of engineering that studies how this type of system should be planned, designed, implemented, built, and maintained. Expected result is the behavior predicted by the specification, or another source, of the component or system under specified conditions.[17]

Sociology, cognitive science and management research

Social and cognitive sciences recognize systems in human person models and in human societies. They include human brain functions and mental processes as well as normative ethics systems and social/cultural behavioral patterns.

In management science, operations research and organizational development (OD), human organizations are viewed as systems (conceptual systems) of interacting components such as subsystems or system aggregates, which are carriers of numerous complex business processes (organizational behaviors) and organizational structures. Organizational development theorist Peter Senge developed the notion of organizations as systems in his book The Fifth Discipline.

Organizational theorists such as Margaret Wheatley have also described the workings of organizational systems in new metaphoric contexts, such as quantum physics, chaos theory, and the self-organization of systems.

Pure logic

There is also such a thing as a logical system. The most obvious example is the calculus developed simultaneously by Leibniz and Isaac Newton. Another example is George Boole's Boolean operators. Other examples have related specifically to philosophy, biology, or cognitive science. Maslow's hierarchy of needs applies psychology to biology by using pure logic. Numerous psychologists, including Carl Jung and Sigmund Freud have developed systems which logically organize psychological domains, such as personalities, motivations, or intellect and desire. Often these domains consist of general categories following a corollary such as a theorem. Logic has been applied to categories such as taxonomy, ontology, assessment, and hierarchies.

Strategic thinking

In 1988, military strategist, John A. Warden III introduced the Five Ring System model in his book, The Air Campaign, contending that any complex system could be broken down into five concentric rings. Each ring—Leadership, Processes, Infrastructure, Population and Action Units—could be used to isolate key elements of any system that needed change. The model was used effectively by Air Force planners in the First Gulf War.[18][19][20] In the late 1990s, Warden applied his model to business strategy.

See also

References
  1. "Definition of system". Merriam-Webster. Springfield, MA, USA. Retrieved 2019-01-16.
  2. "σύστημα", Henry George Liddell, Robert Scott, A Greek–English Lexicon, on Perseus Digits Library.
  3. Marshall McLuhan in: McLuhan: Hot & Cool. Ed. by Gerald Emanuel Stearn. A Signet Book published by The New American Library, New York, 1967, p. 288.
  4. McLuhan, Marshall (2014). "4: The Hot and Cool Interview". In Moos, Michel (ed.). Media Research: Technology, Art and Communication: Critical Voices in Art, Theory and Culture. Critical Voices in Art, Theory and Culture. Routledge. p. 74. ISBN 9781134393145. Retrieved 2015-05-06. 'System' means 'something to look at'. You must have a very high visual gradient to have systematization. In philosophy, before Descartes, there was no 'system.' Plato had no 'system.' Aristotle had no 'system.'
  5. 1945, Zu einer allgemeinen Systemlehre, Blätter für deutsche Philosophie, 3/4. (Extract in: Biologia Generalis, 19 (1949), 139–164.
  6. 1948, Cybernetics: Or the Control and Communication in the Animal and the Machine. Paris, France: Librairie Hermann & Cie, and Cambridge, MA: MIT Press.Cambridge, MA: MIT Press.
  7. 1956. An Introduction to Cybernetics, Chapman & Hall.
  8. IBM's definition @ http://www.ibm.com/support/knowledgecenter/ssw_i5_54/rzaks/rzakssbsd.htm
  9. European Committee for Electrotechnical Standardization (CENELEC) - EN 50128. Brussels, Belgium: CENELEC. 2011. pp. Table A.11 – Data Préparation Techniques (8.4).
  10. Steiss, 1967, pp. 8–18.
  11. Bailey, 1994.
  12. Buckley, 1967.
  13. Banathy, 1997.
  14. K.Gödel, 1931
  15. Klir, 1969, pp. 69–72
  16. Checkland, 1997; Flood, 1999.
  17. "ISTQB Standard glossary of terms used in Software Testing". Retrieved 15 March 2019.
  18. Warden, John A. III (1988). The Air Campaign: Planning for Combat. Washington, D.C.: National Defense University Press. ISBN 978-1-58348-100-4.
  19. Warden, John A. III (September 1995). "Chapter 4: Air theory for the 21st century". Battlefield of the Future: 21st Century Warfare Issues. United States Air Force. Archived from the original (in Air and Space Power Journal) on July 4, 2011. Retrieved December 26, 2008.
  20. Warden, John A. III (1995). "Enemy as a System". Airpower Journal. Spring (9): 40–55. Retrieved 2009-03-25.

Bibliography
  • Alexander Backlund (2000). "The definition of system". In: Kybernetes Vol. 29 nr. 4, pp. 444–451.
  • Kenneth D. Bailey (1994). Sociology and the New Systems Theory: Toward a Theoretical Synthesis. New York: State of New York Press.
  • Bela H. Banathy (1997). "A Taste of Systemics", ISSS The Primer Project.
  • Walter F. Buckley (1967). Sociology and Modern Systems Theory, New Jersey: Englewood Cliffs.
  • Peter Checkland (1997). Systems Thinking, Systems Practice. Chichester: John Wiley & Sons, Ltd.
  • Michel Crozier, Erhard Friedberg (1981). Actors and Systems, Chicago University Press.
  • Robert L. Flood (1999). Rethinking the Fifth Discipline: Learning within the unknowable. London: Routledge.
  • George J. Klir (1969). Approach to General Systems Theory, 1969.
  • Brian Wilson (1980). Systems: Concepts, methodologies and Applications, John Wiley
  • Brian Wilson (2001). Soft Systems Methodology—Conceptual model building and its contribution, J.H.Wiley.
  • Beynon-Davies P. (2009). Business Information + Systems. Palgrave, Basingstoke. ISBN 978-0-230-20368-6
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