Evolution and Advantage Under Uncertainty

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Since desperation ecologies would mark their inhabitants via cues to the ‘faster’, time compression behavioral strategies, the most likely planning strategy for a long enough period of time T >> 1 would consist of approximately T= log T short-term decisions, which corresponds to the logarithmic utility function of time and hyperbolic discounting in time for risk aversion and prudence behavior. The optimal survival strategy in any foreseeable time period would consist of a regular change of scenery by innovation and migration to other environments. We have proposed and studied the model of stochastic competitive advantage, from which it follows in particular that, if competition is allowed in the group, any individual advantage is transitory. But if competition is avoided, then a progressively ineffective hierarchy arises in the group. In hierarchical societies under uncertainty, the ‘fittest’ traits are punished, and not rewarded. A community may seek to get rid of its prominent members, considering their traits of excellence maladaptive when environmental conditions change faster than the rate of possible adaptations to these changes. The high degree of behavioral adaptations in the society may not be that important for survival success under uncertainty. We also discuss the structural evolution of hierarchical societies and show that the structure of a hierarchical society would relax to a more democratic rank composition with time.

Original languageEnglish
Title of host publicationEvolution and Advantage Under Uncertainty
PublisherSpringer International Publishing
Number of pages34
ISBN (Print)9783319394190
StatePublished - 2016

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