Cybernetic adaptation: a system’s ability to dynamically adjust, modify structure and behavior in response to external and internal stimuli, ensuring optimal functioning and survival.
Adaptation is a key concept in cybernetics theory, referring to a system’s ability to dynamically adjust to changing environmental conditions. It is a process in which a system modifies its behavior, structure, or operational parameters in response to external stimuli or internal changes.
Main Features of Adaptation:
- Behavioral Variability
- Self-Regulation
- Learning Ability
- Response to Stimuli
Types of Adaptation:
- Structural: Change in the internal structure of the system
- Functional: Modification of the way the system operates
- Parametric: Adjustment of parameter values
Examples of Adaptation in Various Systems:
- Biological Organisms: Adaptation to the environment
- Information Systems: Machine learning algorithms
- Neural Networks: Change in connection weights
- Organizations: Adjustment of strategies to the market
Mechanisms of Adaptation:
- Feedback
- Self-Regulation
- Learning
- Information Gathering and Analysis
Importance in Cybernetics:
Adaptation allows systems to:
- Survive in changing conditions
- Optimize their performance
- Reduce uncertainty
- Increase efficiency
Model Example:
An organization implementing remote work during a pandemic is a classic model of social adaptation, where the following occurs:
- Change in communication structure
- Transformation of work tools
- Modification of collaboration norms
- Adjustment of management strategies
The concept of adaptation originates from systems theory and is fundamental to understanding complex, dynamic systems in the natural, technical, and social sciences.
- O autorze
- Ks. Tomasz Włodarczyk
- © 2025 Ks. Tomasz Włodarczyk
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Obraz Akadamia Platona, Mozaika rzymska z 1 w. p. Chr., Museo Nazionale Archeologico, Neapol.
