LANDSCAPE 2)
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The global space-time wherein a system may seek better, or the best possible fitness conditions.
This is a more or less metaphorical description used by St. KAUFFMAN for the general study of the fitness conditions of biological systems (1993, Ch.2 to 4). He writes: "Adaptive evolution in real populations is necessarily a search process driven by mutation, recombination, drift, and selection over either fixed or deforming fitness landscapes" (p.95). However such landscapes can be mathematically modelized (p.95-120).
Landscapes can be more or less rugged, which means that a number of different situations can exist, offering variable fitness conditions. Very rugged landscapes imply separated islands of strong stability from which a system cannot easily escape, as it is in a nearly frozen states. Shallow landscapes imply the opposite conditions.
A single system is normally best adapted (fit) to a specific space-time situation, and may loose fitness if the situation changes too much for its adaptive capacity.
A population of some class of systems has the potentiality to globally adapt to changing situations by mutations and the search for better spots within the landscape.
This concept could be important for managers or leaders of human systems, seeking a better understanding of the evolving fitness conditions of their charge.
Categories
- 1) General information
- 2) Methodology or model
- 3) Epistemology, ontology and semantics
- 4) Human sciences
- 5) Discipline oriented
Publisher
Bertalanffy Center for the Study of Systems Science(2020).
To cite this page, please use the following information:
Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]
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