Fitness Landscape
Updated 2026-07-31
INTRODUCTION
English translation pending.
CORE DEFINITION
Introduced by Sewall Wright, the fitness landscape represents each genotype as a location and its reproductive fitness as elevation. Evolution appears as a population moving across this terrain, generally uphill, in search of higher fitness. The landscape may contain many local peaks separated by valleys, so the highest point cannot be reached by continuous uphill movement alone.
SCAFFOLDING EFFECT
Reduce cognitive load
- Strategy search: see whether you are optimizing on a small hill or seeking a higher peak. - Valley crossing: accept short-term loss to move between local optima. - Landscape mapping: identify which decisions define the terrain before choosing a direction.
Anchor fast decisions
Selection moves a population toward nearby improvements, so it climbs the nearest slope. Valleys of low fitness separate local peaks, and any path to a higher peak must cross one. This is why short-term optimization locks an organization into a suboptimal position: improvement in the current direction cannot escape the basin it sits in.
MINIMUM ACTION
In progress 0/4Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Fitness_landscapeverified
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