Patterns
Chapter 3 - Experiential Growth Method® - Deeper dive
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Welcome to the Patterns page
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Thinking about the concept
A visual thesaurus search is always an excellent starting point to discuss a concept definition:
| PATTERN |
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| https://www.freethesaurus.com/pattern |
| REPRESENTATION |
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| https://www.freethesaurus.com/representation |
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Deep dive
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What are patterns?
In all times and cultures, people have been looking for patterns:
- Knowledge of solar, moon and planet movements
- Understanding of language and music
- Animal behaviour
- Growing plants
- Etc.
This knowledge does not consist of a simple enumeration of facts but of bringing regularities of separate points together.
We mean by systematic or pattern-based knowledge: knowledge of the regularity in question as a form of systematic knowledge. Patterns not only bring observed phenomena and events under a denominator, but they can also say something about new, not yet observed and therefore unknown phenomena and events. Patterns have predictive power: a pattern generalises the past and makes statements about the future.
In addition to a pattern, there is also the unique, or the exceptional, which does not follow a pattern. The special cannot exist without a pattern. After all, an exception is a deviation from a pattern, and thus the two notions are intimately linked. Unique events (or unique objects, persons, or phenomena) constitute patterns. And such an individual entity is linked to underlying principles to understand and interpret this entity, event or person.
| Content source |
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| Een wereld vol patronen - R. Bods - Prometheus - 2019 |
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Core patterns
Dissipation
A dissipative process is a process in which energy (internal, bulk flow kinetic, or system potential) is transformed from some initial form to some final form; the capacity of the final form to do mechanical work is less than that of the initial form.
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Self-organisation
The cybernetician William Ross Ashby formulated the original principle of self-organization in 1947. It states that any deterministic dynamic system automatically evolves towards a state of equilibrium that can be described in terms of an attractor in a basin of surrounding states. Once there, the further evolution of the system is constrained to remain in the attractor.
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