system by definition

Independent object and relation sets {system, definition} can have limited and special interactions with outside.

outside

Systems {open system} can interact with outside world and take in or give out negentropy. Open systems can reach same state in different ways. Systems {closed system, analysis} can be separate from outside world.

objects and properties

System objects and events have properties, which have values. Systems, codes, or machines have one or more independent elements and element types. For example, elements can be numbers, letters, words, picture elements, sounds, tastes, smells, pressures, emotions, and signals. Elements can have sequences, patterns, or structures. Element properties can have value ranges.

relations

Relations determine how property values change. Real systems have forces and transfer energy. Interactions among system parts define system functions, goals, or dynamics. Parts can exchange data to provide input to one part from other-part output {communication, system}. Parts can combine to perform subfunctions {cooperation, system}. Parts can increase other-part activities or amounts by positive feedback. Parts can decrease other-part activities or amounts by negative feedback. Series can use output as input in chain reactions.

states

At all times, system objects have property values.

purpose

System typically describe action or how to perform action. Systems describe how to manage data. Goals are ideal states, in which variables have optimum values. Systems can try to maximize, minimize, or optimize variable values.

process

Systems select input data, represent data, process data, and output data. Processing stores, recalls, connects, and compares data. Given inputs, outputs have probability. Systems approach, avoid, use, control, or act on subsystems or environment. Systems select from choices. Systems recognize objects or events. Systems respond to input and/or state. Systems have stored facts and actions to use as resources.

problems

Systems with too many interactions are fragile. Systems with too many similar interactions are too redundant to adapt to novel situations. Systems must have enough time to process information to avoid mistakes and act correctly [Lévi-Strauss, 1966] [Lévi-Strauss, 1969] [Lévi-Strauss, 1985].

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Date Modified: 2022.0224