System (from Latin systēma, in turn from Greek systēma, "whole compounded of several parts or members, system", literary "composition") is a set of interacting or interdependent components forming an integrated whole.
A system is a set of elements and relationships which are different from relationships of the set or its elements to other elements or sets.
Fields that study the general properties of systems include systems theory, cybernetics, dynamical systems, thermodynamics and complex systems. They investigate the abstract properties of systems' matter and organization, looking for concepts and principles that are independent of domain, substance, type, or temporal scale.
Most systems share common characteristics, including:
In the 19th century the first to develop the concept of a "system" in the natural sciences was the French physicist Nicolas Léonard Sadi Carnot who studied thermodynamics. In 1824 he studied the system which he called the working substance, i.e. 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 (to 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.
One of the pioneers of the general systems theory was the biologist Ludwig von Bertalanffy. 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.
Significant development to the concept of a system was done by Norbert Wiener and Ross Ashby who pioneered the use of mathematics to study systems.
In the 1980s the term complex adaptive system was coined at the interdisciplinary Santa Fe Institute by John H. Holland, Murray Gell-Mann and others.
;Natural and man-made systems :There are natural and man-made (designed) systems. Natural systems may not have an apparent objective but their outputs can be interpreted as purposes. Man-made systems are made with purposes that are achieved by the delivery of outputs. Their parts must be related; they must be “designed to work as a coherent entity” - else they would be two or more distinct systems.
;Theoretical Framework :An open system exchanges matter and energy with its surroundings. Most systems are open systems; like a car, coffeemaker, or computer. A closed system exchanges energy, but not matter, with its environment; like Earth or the project Biosphere2 or 3. An isolated system exchanges neither matter nor energy with its environment. A theoretical example of such system is the Universe.
;Process and transformation process :A system can also be viewed as a bounded transformation process, 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. E.g., an output of a passenger ship is the movement of people from departure to destination.
;Subsystem :A subsystem is a set of elements, which is a system itself, and a component of a larger system.
;System Model :A system comprises multiple views. For the man-made systems it may be such views as planning, requirement (analysis), design, implementation, deployment, structure, behavior, input data, and output data views. A system model is required to describe and represent all these multiple views.
;System Architecture :A system architecture, using one single integrated model for the description of multiple views such as planning, requirement (analysis), design, implementation, deployment, structure, behavior, input data, and output data views, is a kind of system model.
# Inputs and Outputs # Processor # Control # Environment # Feedback # Boundaries and Interface
Physical systems are tangible entities that may be static or dynamic in operation. For Example, the physical parts of the computer center are the offices , desk and chairs that facilitate operation of the computer. They can be seen and counted as they are static. In contrast, a programmed computer is a dynamic demands or the priority of the information requested changes. Abstract systems are conceptual or non physical entities.
An open system has many interfaces with its environment. i.e. system that interacts freely with its environment, taking input and returning output. It permits interaction across its boundary; it receives inputs from and delivers outputs to the outside. A closed system does not interact with the environment; changes in the environment and adaptability are not issues for closed system. -------------------------------------------------------------------------A$- Evidently, there are many types of systems that can be analyzed both quantitatively and qualitatively. For example, with an analysis of urban systems dynamics, [A.W. Steiss] defines five intersecting systems, including the physical subsystem and behavioral system. For sociological models influenced by systems theory, where Kenneth D. Bailey defines systems in terms of conceptual, concrete and abstract systems; either isolated, closed, or open, Walter F. Buckley defines social systems in sociology in terms of mechanical, organic, and process models. Bela H. Banathy cautions that with any inquiry into a system that understanding the type of system is crucial and defines Natural and Designed systems.
In offering these more global definitions, the author maintains that it is important not to confuse one for the other. The theorist explains that natural systems include sub-atomic systems, living systems, the solar system, the galactic system and the Universe. Designed systems are our creations, our physical structures, hybrid systems which include natural and designed systems, and our conceptual knowledge. The human element of organization and activities are emphasized with their relevant abstract systems and representations. A key consideration in making distinctions among various types of systems is to determine how much freedom the system has to select purpose, goals, methods, tools, etc. and how widely is the freedom to select itself distributed (or concentrated) in the system.
George J. Klir maintains that no "classification is complete and perfect for all purposes," and defines systems in terms of abstract, real, and conceptual physical systems, bounded and unbounded systems, discrete to continuous, pulse to hybrid systems, et cetera. The interaction between systems and their environments are categorized in terms of 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 us. Important distinctions have also been made between hard and soft systems. Hard systems are associated with areas such as systems engineering, operations research and quantitative systems analysis. Soft systems are commonly associated with concepts developed by Peter Checkland and Brian Wilson through Soft Systems Methodology (SSM) involving methods such as action research and emphasizing participatory designs. Where hard systems might be identified as more "scientific," the distinction between them is actually often hard to define.
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.
System can also be used referring to a framework, be it software or hardware, designed to allow software programs to run, see platform.
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.
Systems thinking is a style of thinking/reasoning and problem solving. It starts from the recognition of system properties in a given problem. It can be a leadership competency. Some people can think globally while acting locally. Such people consider the potential consequences of their decisions on other parts of larger systems. This is also a basis of systemic coaching in psychology.
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.
;Theories about systems
;Related topics
Category:Cybernetics Category:Systems theory Category:Systems science Category:Greek loanwords
ar:نظام az:Sistem be:Сістэма bar:System bs:Sistem bg:Система ca:Sistema cs:Systém da:System de:System et:Süsteem el:Σύστημα es:Sistema eo:Sistemo eu:Sistema fa:سامانه fr:Système gl:Sistema ko:계 (물리학) kk:Жүйе hi:तंत्र (सिस्टम) hr:Sustav io:Sistemo id:Sistem is:Kerfi it:Sistema he:מערכת ka:სისტემა ku:Pergall la:Systema lv:Sistēma lt:Sistema hu:Rendszer mk:Систем nl:Systeem (wetenschap) ja:システム nn:System mhr:Радамлык pl:System pt:Sistema ru:Система sq:Sistemi simple:System sk:Systém (kybernetika) sl:Sistem ckb:سیستەم sr:Систем sh:Sistem fi:Järjestelmä (systeemiteoria) sv:System sn:Gumbapamwe tl:Paraan ta:ஒருங்கியம் tr:Sistem uk:Система vi:Hệ thống yi:סיסטעם zh:系統This text is licensed under the Creative Commons CC-BY-SA License. This text was originally published on Wikipedia and was developed by the Wikipedia community.
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