System

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Systems can be isolated, closed, or open. Diagram Systems.svg
Systems can be isolated, closed, or open.

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 is expressed in its functioning. Systems are the subjects of study of systems theory and other systems sciences.

Contents

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 σύστημαsystēma: "whole concept made of several parts or members, system", literary "composition". [2]

History

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 regard 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. [3]

In the late 1940s and mid-50s, Norbert Wiener and Ross Ashby pioneered the use of mathematics to study systems of control and communication, calling it cybernetics. [4] [5]

In the 1960s Marshall McLuhan applied general systems theory in an approach that he called a field approach and figure/ground analysis, to the study of media theory. [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. OpenSystemRepresentation.svg
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 a 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 transform 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. Human-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 defined five intersecting systems, including the physical subsystem and behavioral system. For sociological models influenced by systems theory, [10] Kenneth D. Bailey defined systems in terms of conceptual, concrete, and abstract systems, either isolated, closed, or open. [11] Walter F. Buckley defined systems in sociology in terms of mechanical, organic, and process models. [12] Bela H. Banathy cautioned that for any inquiry into a system understanding its kind is crucial, and defined natural and designed, i. e. artificial, systems. [13] 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 with 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 expression 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 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. [15] Important distinctions have also been made 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 organizations, 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. [16] Where hard systems might be identified as more scientific, the distinction between them is often elusive.

Economic system

An economic system is a 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 analyzed 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 underlie 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.

Information and computer science

In computer science and information science, a system is a hardware system, software system, or combination, which has components as its structure and observable inter-process communications as its behavior.

There are systems of counting, as with Roman numerals, and various systems for filing papers, or catalogs, and various library systems, of which the Dewey Decimal Classification is an example. This still fits with the definition of components that 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. [17]

Sociology, cognitive science and management research

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

In management science, operations research and organizational development, human organizations are viewed as 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. [18]

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. [19]

Pure logic

There is also such a thing as a logical system. An obvious example is the calculus developed simultaneously by Leibniz and Isaac Newton. Another example is George Boole's Boolean operators. Other examples relate 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 developed systems that logically organize psychological domains, such as personalities, motivations, or intellect and desire.

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. [20] [21] [22] In the late 1990s, Warden applied his model to business strategy.

See also

Related Research Articles

<span class="mw-page-title-main">Systems engineering</span> Interdisciplinary field of engineering

Systems engineering is an interdisciplinary field of engineering and engineering management that focuses on how to design, integrate, and manage complex systems over their life cycles. At its core, systems engineering utilizes systems thinking principles to organize this body of knowledge. The individual outcome of such efforts, an engineered system, can be defined as a combination of components that work in synergy to collectively perform a useful function.

Systems theory is the transdisciplinary study of systems, i.e. cohesive groups of interrelated, interdependent components that can be natural or artificial. Every system has causal boundaries, is influenced by its context, defined by its structure, function and role, and expressed through its relations with other systems. A system is "more than the sum of its parts" when it expresses synergy or emergent behavior.

<span class="mw-page-title-main">Workflow</span> Pattern of activity often with a result

A workflow is a generic term for orchestrated and repeatable patterns of activity, enabled by the systematic organization of resources into processes that transform materials, provide services, or process information. It can be depicted as a sequence of operations, the work of a person or group, the work of an organization of staff, or one or more simple or complex mechanisms.

<span class="mw-page-title-main">Systems thinking</span> Examining complex systems as a whole

Systems thinking is a way of making sense of the complexity of the world by looking at it in terms of wholes and relationships rather than by splitting it down into its parts. It has been used as a way of exploring and developing effective action in complex contexts, enabling systems change. Systems thinking draws on and contributes to systems theory and the system sciences.

<span class="mw-page-title-main">Systems development life cycle</span> Systems engineering terms

In systems engineering, information systems and software engineering, the systems development life cycle (SDLC), also referred to as the application development life cycle, is a process for planning, creating, testing, and deploying an information system. The SDLC concept applies to a range of hardware and software configurations, as a system can be composed of hardware only, software only, or a combination of both. There are usually six stages in this cycle: requirement analysis, design, development and testing, implementation, documentation, and evaluation.

Soft systems methodology (SSM) is an organised way of thinking that's applicable to problematic social situations and in the management of change by using action. It was developed in England by academics at the Lancaster Systems Department on the basis of a ten-year action research programme.

The term conceptual model refers to any model that is formed after a conceptualization or generalization process. Conceptual models are often abstractions of things in the real world, whether physical or social. Semantic studies are relevant to various stages of concept formation. Semantics is fundamentally a study of concepts, the meaning that thinking beings give to various elements of their experience.

<span class="mw-page-title-main">Organizational architecture</span> Procedural structure of an organization

Organizational architecture, also known as organizational design, is a field concerned with the creation of roles, processes, and formal reporting relationships in an organization. It refers to architecture metaphorically, as a structure which fleshes out the organizations. The various features of a business's organizational architecture has to be internally consistent in strategy, architecture and competitive environment.

A modeling perspective in information systems is a particular way to represent pre-selected aspects of a system. Any perspective has a different focus, conceptualization, dedication and visualization of what the model is representing.

The input–process–output (IPO) model, or input-process-output pattern, is a widely used approach in systems analysis and software engineering for describing the structure of an information processing program or other process. Many introductory programming and systems analysis texts introduce this as the most basic structure for describing a process.

Concept learning, also known as category learning, concept attainment, and concept formation, is defined by Bruner, Goodnow, & Austin (1967) as "the search for and listing of attributes that can be used to distinguish exemplars from non exemplars of various categories". More simply put, concepts are the mental categories that help us classify objects, events, or ideas, building on the understanding that each object, event, or idea has a set of common relevant features. Thus, concept learning is a strategy which requires a learner to compare and contrast groups or categories that contain concept-relevant features with groups or categories that do not contain concept-relevant features.

<span class="mw-page-title-main">Outline of thought</span> Overview of and topical guide to thought

The following outline is provided as an overview of and topical guide to thought (thinking):

<span class="mw-page-title-main">Enterprise modelling</span>

Enterprise modelling is the abstract representation, description and definition of the structure, processes, information and resources of an identifiable business, government body, or other large organization.

A glossary of terms relating to systems theory.

Control is a function of management that helps to check errors and take corrective actions. This is done to minimize deviation from standards and ensure that the stated goals of the organization are achieved in a desired manner.

Living systems are life forms treated as a system. They are said to be open self-organizing and said to interact with their environment. These systems are maintained by flows of information, energy and matter. Multiple theories of living systems have been proposed. Such theories attempt to map general principles for how all living systems work.

In science, computing, and engineering, a black box is a system which can be viewed in terms of its inputs and outputs, without any knowledge of its internal workings. Its implementation is "opaque" (black). The term can be used to refer to many inner workings, such as those of a transistor, an engine, an algorithm, the human brain, or an institution or government.

<span class="mw-page-title-main">Information</span> Facts provided or learned about something or someone

Information is an abstract concept that refers to something which has the power to inform. At the most fundamental level, it pertains to the interpretation of that which may be sensed, or their abstractions. Any natural process that is not completely random and any observable pattern in any medium can be said to convey some amount of information. Whereas digital signals and other data use discrete signs to convey information, other phenomena and artifacts such as analogue signals, poems, pictures, music or other sounds, and currents convey information in a more continuous form. Information is not knowledge itself, but the meaning that may be derived from a representation through interpretation.

<span class="mw-page-title-main">Cybernetics</span> Transdisciplinary field concerned with regulatory and purposive systems

Cybernetics is a field of systems theory that studies circular causal systems whose outputs are also inputs, such as feedback systems. It is concerned with the general principles of circular causal processes, including in ecological, technological, biological, cognitive and social systems and also in the context of practical activities such as designing, learning, and managing.

The Function-Behaviour-Structure ontology – or short, the FBS ontology – is an ontology of design objects, i.e. things that have been or can be designed. The Function-Behaviour-Structure ontology conceptualizes design objects in three ontological categories: function (F), behaviour (B), and structure (S). The FBS ontology has been used in design science as a basis for modelling the process of designing as a set of distinct activities. This article relates to the concepts and models proposed by John S. Gero and his collaborators. Similar ideas have been developed independently by other researchers.

References

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  2. "σύστημα" Archived 2021-01-28 at the Wayback Machine , Henry George Liddell, Robert Scott, A Greek–English Lexicon , on Perseus Digits Library.
  3. 1945, Zu einer allgemeinen Systemlehre, Blätter für deutsche Philosophie, 3/4. (Extract in: Biologia Generalis, 19 (1949), 139–164.
  4. 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.
  5. 1956. An Introduction to Cybernetics Archived 2023-05-17 at the Wayback Machine , Chapman & Hall.
  6. McLuhan, Marshall (1964). Understanding Media: The Extensions of Man. McGraw-Hill Education. reissued by Gingko Press, 2003. ISBN   978-1-58423-073-1.
  7. McLuhan, Marshall; Quentin Fiore (1967). The Medium Is the Massage: An Inventory of Effects (1st ed.). Random House. Reissued by Gingko Press, 2001. ISBN   978-1-58423-070-0.
  8. IBM's definition [ permanent dead link ]
  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. 1 2 "ISTQB Standard glossary of terms used in Software Testing". Archived from the original on 5 November 2018. Retrieved 15 March 2019.
  18. Senge, P.M. (1990). The Fifth Discipline: The Art and Practice of the Learning Organization. Doubleday/Currency. ISBN   9780385260947.
  19. "A New Story for a New Time" . Retrieved 2024-03-12.
  20. Warden, John A. III (1988). The Air Campaign: Planning for Combat. Washington, D.C.: National Defense University Press. ISBN   978-1-58348-100-4.
  21. 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.
  22. Warden, John A. III (1995). "Enemy as a System". Airpower Journal. Spring (9): 40–55. Archived from the original on 2009-01-13. Retrieved 2009-03-25.

Bibliography