Genetic Algorithm-based Reproduction of Certainty Effect: From the perspective of survival environments

In this paper, the certainty effect is modeled from the perspective of the survival environment. The SEGA algorithm, based on the python geatpy library, reproduces the social experiment designed by Kahneman et al. to demonstrate the correlation between the survival environment and the certainty effect. This paper takes the opportunity to point out that the more demanding the survival environment is, the more likely it is to lead to a certainty effect.