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Incomplete division of labor: error-prone multitaskers coexist with specialists
1Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH 43210, USA.
Journal of Theoretical Biology
|November 21, 2007
Summary
Even with extra costs and errors, generalists can coexist with specialists in groups. This incomplete division of labor (DoL) persists when generalists' mistakes minimally impact group success.
Area of Science:
- Evolutionary biology
- Behavioral ecology
- Theoretical biology
Background:
- Division of labor (DoL) involves task specialization within groups.
- Complete DoL features only specialists, while incomplete DoL includes generalists capable of multiple tasks.
- The persistence of costly generalists alongside specialists presents a theoretical challenge, as prior models predicted complete specialization.
Purpose of the Study:
- To investigate the conditions under which generalists can coexist with specialists in groups.
- To explore the emergence of stable multitasking despite potential inefficiencies and errors made by generalists.
- To challenge the assumption that costs associated with generalism inevitably drive evolution towards complete specialization.
Main Methods:
- Theoretical modeling to simulate group dynamics under varying degrees of specialization and error rates.
- Analysis of fitness consequences associated with generalist errors in task performance.
- Examination of evolutionary stability of incomplete division of labor.
Main Results:
- Generalists can coexist with specialists even when incurring extra costs for multitasking.
- Incomplete DoL can be stable even if generalists frequently perform tasks incorrectly.
- Error-prone generalists persist when their mistakes have minimal negative impact on overall group success.
Conclusions:
- The persistence of generalists is possible under incomplete division of labor, contrary to previous assumptions.
- Cognitive errors by generalists do not necessarily prevent their persistence if fitness decrements are low.
- Incomplete DoL can emerge and be maintained even with costly and error-prone multitasking.
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