Regularities of systems

System regularities

System regularities are stable, recurring properties and principles of the functioning and development of systems, identified during their study. In systems analysis, system patterns serve as the basis for building models, predicting system behavior, and developing effective methods for managing them.

General Characteristics

System patterns reflect the objective characteristics of complex objects regardless of their specific nature—be it technical, biological, social, or otherwise. They capture the internal logic of a system's existence, its capacity for development, adaptation, self-organization, and interaction with its surrounding environment.

Identifying system patterns allows us to:

• understand the principles of system construction and functioning;
• design new systems on a sound basis;
• develop methods for predicting system behavior;
• formulate strategies for managing system development.

Why "Patterns" and not "Laws"

In systems analysis, the term "patterns" is used instead of "laws" because:

• the behavior of complex systems is probabilistic and multivariant;
• the same systems can exhibit different development trajectories under similar conditions;
• the influence of the external environment, internal processes, and subjective factors makes strict formalization difficult;
• most identified patterns are observed trends rather than strict, universal dependencies.

Thus, patterns express general, but not absolutely rigid, principles that manifest in most cases but allow for exceptions in complex or unique situations.

Main Groups of Patterns

Within systems analysis, system patterns can be classified as follows:

1. Patterns of Structure and Functioning

• Wholeness — the behavior of a system as a whole cannot be reduced to the sum of the behaviors of its elements.
• Hierarchy — the presence of levels of organization and subordination of elements within a system.
• Connectivity — the elements of a system are connected by specific relationships and interactions.
• Functional diversity — one element can perform multiple functions, and one function can be provided by different elements.

2. Patterns of System Development

• Emergence — the appearance of new properties at the system level that are absent in its individual elements (emergent properties).
• Principle of dynamic equilibrium — systems maintain stability through continuous adaptation to environmental changes.
• Irreversibility of development — processes in complex systems are predominantly irreversible.
• Progressive complication — the evolution of systems is accompanied by an increase in their complexity.

3. Patterns of System-Environment Interaction

• Openness — most real systems are in constant exchange of energy, matter, and information with the external environment.
• Adaptability — the ability of a system to change its behavior in response to environmental changes.
• Goal-setting and purposefulness — the orientation of a system's behavior toward achieving specific goals.
• Communicativeness - a pattern that "forms the basis for defining a system as open. Such a system is connected to the environment by numerous communications."

4. Patterns of Control and Self-Regulation

• Feedback — a mechanism for receiving information about the results of a system's functioning and correcting its behavior.
• Equifinality — the ability to achieve the same goal through different paths and from different initial conditions (equifinality).
• Self-organization — the ability of systems to spontaneously create order without external control under certain conditions.

Additionally: key patterns of systemic development

• Law of requisite variety — for a system to be effectively controlled, the variety of control actions must be at least as great as the variety of disturbances affecting the system.
• Potential feasibility of systems — a system must have the potential to achieve a desired state given the necessary conditions for its functioning and development.

Alternative Classification of Patterns

In systems analysis, a classification of system patterns based on their role in structure and dynamics is also used:

1. Patterns of Part-Whole Interaction:

• wholeness of systems;
• factorization of systems (identification of functional blocks);
• communicativeness of elements.

2. Patterns of Hierarchical Organization:

• construction of systems as multi-level structures;
• distribution of functions and responsibilities among levels.

3. Patterns of System Feasibility:

• equifinality;
• potential feasibility of goals;
• law of requisite variety.

4. Patterns of System Development:

• evolution through increasing complexity;
• historicity of development;
• self-organization and self-structuring.

This classification emphasizes the interrelation between the structure, goal formation, and development of complex systems.

Significance of System Patterns in Systems Analysis

System patterns serve as:

• a basis for formulating hypotheses about the behavior and development of the systems under study;
• a foundation for building generalized models and concepts in systems analysis;
• a guide for selecting methods to solve applied problems under conditions of complexity and uncertainty.

Taking these patterns into account helps to increase the reliability of models, the soundness of decisions, and the stability of designed systems.

Literature

• Peregudov F.I., Tarasenko F.P. — Introduction to Systems Analysis. Moscow: Vysshaya Shkola, 1989
• Volkova V.N., Kozlov V.N. — Systems Analysis and Decision Making. A Dictionary-Reference. Moscow: Vysshaya Shkola, 2004
• Volkova V. N., Denisov A. A. — Theory of Systems and Systems Analysis: a textbook for universities. Moscow: Yurayt Publishing, 2025
• Volkova V.N. — Origins and Prospects for the Development of Systems Sciences. St. Petersburg: Polytech-Press, 2022
• Systems Research. Yearbook. Moscow: Nauka Publishing, 1969-88

Relation to Other Concepts

Understanding system patterns is closely related to the basic concepts of systems analysis:

• System
• System Structure
• Hierarchy
• Function
• Emergence
• Homeostasis
• System Environment
• Feedback
• Equifinality

See Also

• Systems Theory
• Systems Approach
• Formalization of System Models
• Modeling