refs.bib

@misc{Agents.jl,
      title={Agents.jl: A performant and feature-full agent based modelling software of minimal code complexity},
      author={George Datseris and Ali R. Vahdati and Timothy C. DuBois},
      year={2021},
      eprint={2101.10072},
      archivePrefix={arXiv},
      primaryClass={cs.MA}
}@article{23andme2019,
  title = {Genome-Wide Association Analyses of Risk Tolerance and Risky Behaviors in over 1 Million Individuals Identify Hundreds of Loci and Shared Genetic Influences},
  author = {{23and Me Research Team} and {eQTLgen Consortium} and {International Cannabis Consortium} and {Social Science Genetic Association Consortium} and Karlsson Linnér, Richard and Biroli, Pietro and Kong, Edward and Meddens, S. Fleur W. and Wedow, Robbee and Fontana, Mark Alan and Lebreton, Maël and Tino, Stephen P. and Abdellaoui, Abdel and Hammerschlag, Anke R. and Nivard, Michel G. and Okbay, Aysu and Rietveld, Cornelius A. and Timshel, Pascal N. and Trzaskowski, Maciej and de Vlaming, Ronald and Zünd, Christian L. and Bao, Yanchun and Buzdugan, Laura and Caplin, Ann H. and Chen, Chia-Yen and Eibich, Peter and Fontanillas, Pierre and Gonzalez, Juan R. and Joshi, Peter K. and Karhunen, Ville and Kleinman, Aaron and Levin, Remy Z. and Lill, Christina M. and Meddens, Gerardus A. and Muntané, Gerard and Sanchez-Roige, Sandra and van Rooij, Frank J. and Taskesen, Erdogan and Wu, Yang and Zhang, Futao and Auton, Adam and Boardman, Jason D. and Clark, David W. and Conlin, Andrew and Dolan, Conor C. and Fischbacher, Urs and Groenen, Patrick J. F. and Harris, Kathleen Mullan and Hasler, Gregor and Hofman, Albert and Ikram, Mohammad A. and Jain, Sonia and Karlsson, Robert and Kessler, Ronald C. and Kooyman, Maarten and MacKillop, James and Männikkö, Minna and Morcillo-Suarez, Carlos and McQueen, Matthew B. and Schmidt, Klaus M. and Smart, Melissa C. and Sutter, Matthias and Thurik, A. Roy and Uitterlinden, André G. and White, Jon and de Wit, Harriet and Yang, Jian and Bertram, Lars and Boomsma, Dorret I. and Esko, Tõnu and Fehr, Ernst and Hinds, David A. and Johannesson, Magnus and Kumari, Meena and Laibson, David and Magnusson, Patrik K. E. and Meyer, Michelle N. and Navarro, Arcadi and Palmer, Abraham A. and Pers, Tune H. and Posthuma, Danielle and Schunk, Daniel and Stein, Murray B. and Svento, Rauli and Tiemeier, Henning and Timmers, Paul R. H. J. and Turley, Patrick and Ursano, Robert J. and Wagner, Gert G. and Wilson, James F. and Gratten, Jacob and Lee, James J. and Cesarini, David and Benjamin, Daniel J. and Koellinger, Philipp D. and Beauchamp, Jonathan P.},
  date = {2019-02},
  journaltitle = {Nature Genetics},
  shortjournal = {Nat Genet},
  volume = {51},
  pages = {245--257},
  issn = {1061-4036, 1546-1718},
  doi = {10.1038/s41588-018-0309-3},
  url = {http://www.nature.com/articles/s41588-018-0309-3},
  urldate = {2021-05-14},
  file = {/Users/xirui/Zotero/storage/349VQAVB/23and Me Research Team et al. - 2019 - Genome-wide association analyses of risk tolerance.pdf},
  langid = {english},
  number = {2}
}

@article{bankes2002,
  title = {Agent-Based Modeling: {{A}} Revolution?},
  shorttitle = {Agent-Based Modeling},
  author = {Bankes, S. C.},
  date = {2002-05-14},
  journaltitle = {Proceedings of the National Academy of Sciences},
  shortjournal = {Proceedings of the National Academy of Sciences},
  volume = {99},
  pages = {7199--7200},
  issn = {0027-8424, 1091-6490},
  doi = {10.1073/pnas.072081299},
  url = {http://www.pnas.org/cgi/doi/10.1073/pnas.072081299},
  urldate = {2021-05-14},
  file = {/Users/xirui/Zotero/storage/BSTVJ4DA/Bankes - 2002 - Agent-based modeling A revolution.pdf},
  issue = {Supplement 3},
  langid = {english}
}

@article{beshers2001,
  title = {Models of Division of Labor in Social Insects},
  shorttitle = {M},
  author = {Beshers, Samuel N. and Fewell, Jennifer H.},
  date = {2001-01},
  journaltitle = {Annual Review of Entomology},
  shortjournal = {Annu. Rev. Entomol.},
  volume = {46},
  pages = {413--440},
  issn = {0066-4170, 1545-4487},
  doi = {10.1146/annurev.ento.46.1.413},
  url = {http://www.annualreviews.org/doi/10.1146/annurev.ento.46.1.413},
  urldate = {2021-04-15},
  file = {/Users/xirui/Zotero/storage/Z2TQENXF/Beshers and Fewell - 2001 - Models of division of labor in social insects.pdf},
  langid = {english},
  number = {1}
}

@article{frey2020,
  title = {Identifying {{Robust Correlates}} of {{Risk Preference}}: {{A Systematic Approach Using Specification Curve Analysis}}},
  author = {Frey, Renato and Richter, David and Schupp, Jürgen and Hertwig, Ralph and Mata, Rui},
  date = {2020},
  pages = {20},
  abstract = {People’s risk preferences are thought to be central to many consequential real-life decisions, making it important to identify robust correlates of this construct. Various psychological theories have put forth a series of candidate correlates, yet the strength and robustness of their associations remain unclear because of disparate operationalizations of risk preference and analytic limitations in past research. We addressed these issues with a study involving several operationalizations of risk preference (all collected from each participant in a diverse sample of the German population; N ϭ 916), and by adopting an exhaustive modeling approach—specification curve analysis. Our analyses of 6 candidate correlates (household income, sex, age, fluid intelligence, crystallized intelligence, years of education) suggest that sex and age have robust and consistent associations with risk preference, whereas the other candidate correlates show weaker and more (domain-) specific associations (except for crystallized intelligence, for which there were no robust associations). The results further demonstrate the important role of construct operationalization when assessing people’s risk preferences: Self-reported propensity measures picked up various associations with the proposed correlates, but (incentivized) behavioral measures largely failed to do so. In short, the associations between the 6 candidate correlates and risk preference depend mostly on how risk preference is measured, rather than whether and which control variables are included in the model specifications. The present findings inform several theories that have suggested candidate correlates of risk preference, and illustrate how personality research may profit from exhaustive modeling techniques to improve theory and measurement of essential constructs.},
  file = {/Users/xirui/Zotero/storage/2G2E8UKP/Frey et al. - Identifying Robust Correlates of Risk Preference .pdf},
  langid = {english}
}

@article{haushofer2014,
  title = {On the Psychology of Poverty},
  author = {Haushofer, J. and Fehr, E.},
  date = {2014-05-23},
  journaltitle = {Science},
  shortjournal = {Science},
  volume = {344},
  pages = {862--867},
  issn = {0036-8075, 1095-9203},
  doi = {10.1126/science.1232491},
  url = {https://www.sciencemag.org/lookup/doi/10.1126/science.1232491},
  urldate = {2021-05-14},
  file = {/Users/xirui/Zotero/storage/DDIZ3DQW/Haushofer and Fehr - 2014 - On the psychology of poverty.pdf},
  langid = {english},
  number = {6186}
}

@article{hong2004,
  title = {Groups of Diverse Problem Solvers Can Outperform Groups of High-Ability Problem Solvers},
  author = {Hong, L. and Page, S. E.},
  date = {2004-11-16},
  journaltitle = {Proceedings of the National Academy of Sciences},
  shortjournal = {Proceedings of the National Academy of Sciences},
  volume = {101},
  pages = {16385--16389},
  issn = {0027-8424, 1091-6490},
  doi = {10.1073/pnas.0403723101},
  url = {http://www.pnas.org/cgi/doi/10.1073/pnas.0403723101},
  urldate = {2021-04-15},
  file = {/Users/xirui/Zotero/storage/VSHL47PC/Hong and Page - 2004 - Groups of diverse problem solvers can outperform g.pdf},
  langid = {english},
  number = {46}
}

@article{keidel2021,
  title = {Individual {{Differences}} in {{Intertemporal Choice}}},
  author = {Keidel, Kristof and Rramani, Qëndresa and Weber, Bernd and Murawski, Carsten and Ettinger, Ulrich},
  date = {2021-04-16},
  journaltitle = {Frontiers in Psychology},
  shortjournal = {Front. Psychol.},
  volume = {12},
  pages = {643670},
  issn = {1664-1078},
  doi = {10.3389/fpsyg.2021.643670},
  url = {https://www.frontiersin.org/articles/10.3389/fpsyg.2021.643670/full},
  urldate = {2021-05-14},
  abstract = {Intertemporal choice involves deciding between smaller, sooner and larger, later rewards. People tend to prefer smaller rewards that are available earlier to larger rewards available later, a phenomenon referred to as temporal or delay discounting. Despite its ubiquity in human and non-human animals, temporal discounting is subject to considerable individual differences. Here, we provide a critical narrative review of this literature and make suggestions for future work. We conclude that temporal discounting is associated with key socio-economic and health-related variables. Regarding personality, large-scale studies have found steeper temporal discounting to be associated with higher levels of self-reported impulsivity and extraversion; however, effect sizes are small. Temporal discounting correlates negatively with future-oriented cognitive styles and inhibitory control, again with small effect sizes. There are consistent associations between steeper temporal discounting and lower intelligence, with effect sizes exceeding those of personality or cognitive variables, although socio-demographic moderator variables may play a role. Neuroimaging evidence of brain structural and functional correlates is not yet consistent, neither with regard to areas nor directions of effects. Finally, following early candidate gene studies, recent Genome Wide Association Study (GWAS) approaches have revealed the molecular genetic architecture of temporal discounting to be more complex than initially thought. Overall, the study of individual differences in temporal discounting is a maturing field that has produced some replicable findings. Effect sizes are small-to-medium, necessitating future hypothesis-driven work that prioritizes large samples with adequate power calculations. More research is also needed regarding the neural origins of individual differences in temporal discounting as well as the mediating neural mechanisms of associations of temporal discounting with personality and cognitive variables.},
  file = {/Users/xirui/Zotero/storage/Y8NJKRFC/Keidel et al. - 2021 - Individual Differences in Intertemporal Choice.pdf},
  langid = {english}
}

@article{macy2002,
  title = {From {{Factors}} to {{Actors}}: {{Computational Sociology}} and {{Agent}}-{{Based Modeling}}},
  shorttitle = {From {{Factors}} to {{Actors}}},
  author = {Macy, Michael W. and Willer, Robert},
  date = {2002-08},
  journaltitle = {Annual Review of Sociology},
  shortjournal = {Annu. Rev. Sociol.},
  volume = {28},
  pages = {143--166},
  issn = {0360-0572, 1545-2115},
  doi = {10.1146/annurev.soc.28.110601.141117},
  url = {http://www.annualreviews.org/doi/10.1146/annurev.soc.28.110601.141117},
  urldate = {2021-05-14},
  file = {/Users/xirui/Zotero/storage/MKR4JY4H/Macy and Willer - 2002 - From Factors to Actors Computational Sociology an.pdf},
  langid = {english},
  number = {1}
}

@article{23andme2018,
  title = {Genome-Wide Association Study of Delay Discounting in 23,217 Adult Research Participants of {{European}} Ancestry},
  author = {{the 23andMe Research Team} and Sanchez-Roige, Sandra and Fontanillas, Pierre and Elson, Sarah L. and Pandit, Anita and Schmidt, Ellen M. and Foerster, Johanna R. and Abecasis, Gonçalo R. and Gray, Joshua C. and de Wit, Harriet and Davis, Lea K. and MacKillop, James and Palmer, Abraham A.},
  date = {2018-01},
  journaltitle = {Nature Neuroscience},
  shortjournal = {Nat Neurosci},
  volume = {21},
  pages = {16--18},
  issn = {1097-6256, 1546-1726},
  doi = {10.1038/s41593-017-0032-x},
  url = {http://www.nature.com/articles/s41593-017-0032-x},
  urldate = {2021-05-14},
  file = {/Users/xirui/Zotero/storage/7ZM7M3W4/the 23andMe Research Team et al. - 2018 - Genome-wide association study of delay discounting.pdf},
  langid = {english},
  number = {1},
  options = {useprefix=true}
}

@article{zollman2010,
  title = {The {{Epistemic Benefit}} of {{Transient Diversity}}},
  author = {Zollman, Kevin J. S.},
  date = {2010-01},
  journaltitle = {Erkenntnis},
  shortjournal = {Erkenn},
  volume = {72},
  pages = {17--35},
  issn = {0165-0106, 1572-8420},
  doi = {10.1007/s10670-009-9194-6},
  url = {http://link.springer.com/10.1007/s10670-009-9194-6},
  urldate = {2021-05-20},
  abstract = {There is growing interest in understanding and eliciting division of labor within groups of scientists. This paper illustrates the need for this division of labor through a historical example, and a formal model is presented to better analyze situations of this type. Analysis of this model reveals that a division of labor can be maintained in two different ways: by limiting information or by endowing the scientists with extreme beliefs. If both features are present however, cognitive diversity is maintained indefinitely, and as a result agents fail to converge to the truth. Beyond the mechanisms for creating diversity suggested here, this shows that the real epistemic goal is not diversity but transient diversity.},
  file = {/Users/xirui/Zotero/storage/HRQ4HIKE/Zollman - 2010 - The Epistemic Benefit of Transient Diversity.pdf},
  langid = {english},
  number = {1}
}