Evolutionary applications of risk sensitivity models to socially stratified species: Comparison of sigmoid, concave, and linear functions

@article{Kuznar2002EvolutionaryAO,
  title={Evolutionary applications of risk sensitivity models to socially stratified species: Comparison of sigmoid, concave, and linear functions},
  author={L. Kuznar},
  journal={Evolution and Human Behavior},
  year={2002},
  volume={23},
  pages={265-280}
}
  • L. Kuznar
  • Published 2002
  • Psychology
  • Evolution and Human Behavior
Abstract Risk sensitivity is important for modeling behavior since organisms live in a stochastic world and must respond to risk by either avoiding it to the extent possible or taking chances. Researchers have proposed various models of risk-sensitive behavior including concave utility functions and step functions. These formulations either do not model attraction to risk, or they are overly simple or discontinuous models of more complex behavior. I propose a sigmoid formulation to overcome… Expand
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References

SHOWING 1-10 OF 50 REFERENCES
...
1
2
3
4
5
...