Selection of methods for modeling systems - System theory and system analysis

Choosing methods for modeling systems

To select the methods of modeling systems from the very beginning of the development of systems theory and system analysis, classifications of systems were proposed that were used to limit the choice of approaches to the system's mapping, to compare the selected classes with techniques and methods of system analysis and to give recommendations on the choice of methods for the corresponding class systems.

Thus, classifications of systems by type of displayed object (technical, biological, economic, etc. systems), type of scientific direction (mathematical, physical, chemical, etc.) .) focus on the choice of methods used to model these types of systems.

The separation of systems into deterministic and stochastic directly indicates the type of methods used.

Assessing the classification of systems in complexity from the point of view of choosing methods for their modeling, it should be noted that such recommendations (up to the choice of mathematical methods) are available only for classes of relatively low complexity (in the classification K. Boulding , for example - for the level of inanimate systems), and for more complex systems it is stipulated that it is difficult to give such recommendations.

For greater consistency, the term more highly organized matter Table. 1.2, given in Ch. 1, inverted (Table 2.15). At the lower level, the least organized class of inanimate systems is placed, to which one can include crystals, artificial objects of complete construction (houses, furniture, etc.) - static systems. The next is the simplest dynamic, to which the program management model can be put in line (see Figure 2.15). Above are cybernetic systems with feedback loops, whose name determines the control model by deviation (Figure 2.16).

Thus, these three levels of inanimate systems can be explored on the basis of models developed by special disciplines, and in particular - the theory of automatic regulation.

Briefly explain them.

Table 2.15

Type

Systems

Difficulty level

Examples

Concepts, models

Live

Systems

Transcendental systems or systems that are currently outside our cognition

Integral concepts

Social Systems

Social

Organization

Sociological concepts Integral concepts

Systems characterized by self-awareness, thinking and non-trivial behavior

People

Physiological, psychological concepts

Living organisms with more developed ability to perceive information, but not possessing self-awareness

Animals

Biological concepts and models

Living organisms with low ability to perceive information

Plants

Chemical and biological concepts and models

Open systems with a self-maintaining structure (the first stage, on which separation into living and non-living is possible)

Homeostat

Cells

Non-living systems

Cybernetic systems with controlled feedback loops

Thermostat

Simple dynamic structures with a prescribed law of behavior

Hourly mechanism

Static structures (skeletons)

Crystals

Physico-mathematical concepts and models

Also We Can Offer!

Ошибка в функции вывода объектов.