Evolutionary Origins

2020

Citations in the corpus

• Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “With timescales comparable to a lifetime, evolution may lead to phenotypic plasticity, which is the capacity for a genotype to express different phenotypes in response to different environmental conditions (Lalejini and Ofria, 2016).”
• Individual-level loss aversion in riskless and risky choices (2022, unknown): “, 2001), smallscale societies (Apicella et al., 2014), and cross-cultural experiments (Wang et al., 2017). This suggests that loss aversion may be deeply rooted, which would imply that for many people it takes experience and learning to overcome loss aversion. Johnson et al. (2007) propose a cogniti”