References :

Ahrweiler, P. 2017. “Agent-based Simulation for Science, Technology, and Innovation Policy.” Scientometrics 110(1): 391–415. https://doi.org/10.1007/s11192-016-2105-0

Ariely, D. 2010. Predictably Irrational: The Hidden Forces that Shape Our Decisions. New York: Harper Perennial. https://doi.org/10.1037/e653632011-003

Arnaboldi, V., A. Passarella, M. Conti and R. I. M. Dunbar. 2015. Online Social Networks: Human Cognitive Constraints in Facebook and Twitter Personal Graphs. Amsterdam: Elsevier. https://doi.org/10.1016/B978-0-12-803023-
3.00002-3

Assael, Y. M., B. Shillingford, S. Whiteson and N. de Freitas. 2016. “LipNet: End-to-End Sentence-level Lipreading.” ArXiv 1–13. http://arxiv.org/abs/1611.01599

Axelrod, R. 1997. “The Dissemination of Culture.” Journal of Conflict Resolution 41(2): 203–226. https://doi.org/10.1177/0022002797041002001

Axelrod, R. and W. D. Hamilton. 1981. “The Evolution of Cooperation.” Science 211(4489): 1390–1396. https://doi.org/10.1126/science.7466396

Axtell, R. L. 2016. 120 Million Agents Self-Organize into 6 Million Firms: A Model of the US Private Sector. Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 806–816.

Axtell, R. L., J. M. Epstein, J. S. Dean, G. J. Gumerman, A. C. Swedlund, J. Harburger, J., and M. Parker. 2002. “Population Growth and Collapse in a Multiagent Model of the Kayenta Anasazi in Long House Valley.” Proceedings of the National Academy of Sciences 99(Supplement 3), 7275–7279. https://doi.org/10.1073/pnas.092080799

Bainbridge, W. S. 1984. “Computer Simulation of Cultural Drift – Limitations on Interstellar Colonisation.” Journal of the British Interplanetary Society 37: 420–429. https://ui.adsabs.harvard.edu/abs/1984JBIS...37..420B/abstract

———. 1995. “Neural Network Models of Religious Beliefs.” Sociological Perspectives 38(4): 483–495. https://doi.org/10.2307/1389269

Blume, M. 2009. “The Reproductive Benefits of Religious Affiliation.” In The Biological Evolution of Religious Mind and Behavior, edited by E. Voland and W. Schiefenhövel, 117–126. Heildelberg: Springer. http://doi.org/10.1007/978-3-642-00128-4_8

Braxton, D. M., M. A. Upal and K. L. Nielbo. 2012. “Computing Religion: A New Tool in the Multilevel Analysis of Religion.” Method & Theory in the Study of Religion 24(3): 267–290. http://doi.org/10.1163/157006812X635709

Chakraborty, S., R. Tomsett, R. Raghavendra, D. Harborne, M. Alzantot, F. Cerutti, and P. Gurram. 2017. “Interpretability of Deep Learning Models: A Survey of Results.” 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 1–6. https://doi.org/10.1109/UIC-ATC.2017.8397411

Cosmides, L. and J. Tooby. 1994. “Better than Rational: Evolutionary Psychology and the Invisible Hand.” The American Economic Review 84(2): 327–332. https://doi.org/10.2307/2117853

Costa, D. L., N. Yetter and H. Desomer. 2018. “Intergenerational Transmission of Paternal Trauma among US Civil War ex-POWs.” Proceedings of the National Academy of Science, 1–6. https://doi.org/10.1073/pnas.1803630115

Czachesz, I. 2014. “The Evolutionary Dynamics of Religious Systems Laying the Foundations of a Network Model.” In Origins of Religion, Cognition and Culture, edited by A. W. Geertz and J. S. Jensen, 98–120. Sheffield: Equinox.

Database of Religious History. 2015. The Database of Religious History. Vancouver: University of British Columbia. http://www.religiondatabase.arts.ubc.ca/

Dávid-Barrett, T. and R. I. M. Dunbar. 2012. “Cooperation, Behavioural Synchrony and Status in Social Networks.” Journal of Theoretical Biology 308: 88–95. http://doi.org/10.1016/j.jtbi.2012.05.007

Durkheim, E. 1915. The Elementary Forms of the Religious Life. Translated by J. W. Swain. London: George Allen and Unwin. https://archive.org/details/elementaryformso00durk/page/n5

Fudenberg, D. and J. Tirole. 1991. Game Theory. Cambridge, MA: Massachusetts Institute of Technology Press.

Gilbert, N., P. Ahrweiler, P. Barbrook-Johnson, K. P. Narasimhan and H. Wilkinson. 2018. “Computational Modelling of Public Policy: Reflections on Practice.” Journal of Artificial Societies and Social Simulation 21(1): 1–19. http://doi.org/10.18564/jasss.3669

Gintis, H. and S. Schecter. 2016. Game Theory in Action: An Introduction to Classical and Evolutionary Models. Princeton: Princeton University Press. https://doi.org/10.1515/9781400880881

Gore, R., C. Lemos, F. L. Shults and W. J. Wildman. 2018. “Forecasting Changes in Religiosity and Existential Security with an Agent-based Model.” Journal of Artificial Societies and Social Simulation 21(1): 1–31. http://doi.org/10.18564/jasss.3596

Harris, P. and M. Koenig. 2006. “Trust in Testimony: How Children Learn about Science and Religion.” Child Development 77(3): 505–524. http://doi.org/10.1111/j.1467-8624.2006.00886.x

Henrich, J. and R. Boyd. 1998. “The Evolution of Conformist Transmission and the Emergence of Between-Group Differences.” Evolution and Human Behavior 19: 215–241. https://doi.org/10.1016/S1090-5138(98)00018-X

Human Relations Area Files. 2015. Cultural Information for Education and Resources. http://hraf.yale.edu/

Kameda, T. and D. Nakanishi. 2002. “Cost-benefit Analysis of Social/Cultural Learning in a Nonstationary Uncertain Environment: An Evolutionary Simulation and an Experiment with Human Subjects.” Evolution and Human Behavior 23(5): 373–393. http://doi.org/10.1016/S1090-5138(02)00101-0

Kaše, V., T. Hampejs and Z. Pospíšil. 2018. “Modeling Cultural Transmission of Rituals in Silico: The Advantages and Pitfalls of Agent-based vs. System Dynamics Models Modeling.” Journal of Cognition & Culture 18(5): 483–507. http://doi.org/10.1163/15685373-12340041

Kelemen, D. 2004. “Are Children ‘Intuitive Theists’? Reasoning about Purpose and Design in Nature.” Psychological Science 15(5): 295–301. http://doi.org/10.1111/j.0956-7976.2004.00672.x

Lane, J. E. 2012. “Utilizing Computer Modeling and Multi-Agent Artificial Intelligence for Studying Religious Goups.” Past, Present, and Future in the Scientific Study of Religions, powerpoint. Brno, Czech Republic.

———. 2013. “Method, Theory, and Multi-Agent Artificial Intelligence: Creating Computer Models of Complex Social Interaction.” Journal for the Cognitive Science of Religion 1(2): 161–180. https://doi.org/10.1558/jcsr.v1i2.161

Lane, J. E. 2015. “Rethinking Complexity and Culture: Cognitive Science as Explanatory Framework for Cultural Phenomena.” Journal of Cognition and Culture 15(5): 435–441. http://doi.org/10.1163/15685373-12342160

———. 2017a. “Can We Predict Religious Extremism?” Religion, Brain & Behavior 7(4): 299–304. http://doi.org/10.1080/2153599X.2016.1249923

———. 2017b. “Strengthening the Supernatural Punishment Hypothesis through Computer Modeling.” Religion, Brain & Behavior 8(3): 12–22. http://doi.org/10.1080/2153599X.2017.1302977

———. 2018. “The Emergence of Social Schemas and Lossy Conceptual Information Networks: How Information Transmission Can Lead to the Apparent ‘Emergence’ of Culture.” In Emergent Behavior in Complex Systems Engineering: A Modeling and Simulation Approach, edited by S. Mittal, S. Y. Diallo and A. Tolk, 329–256. New York: John Wiley & Sons.

———. 2019. “Understanding Epistemological Debates in the Humanities and Social Sciences Can Aid in Model Development: Modeling Interpretive and Explanatory Theories.” In Human Simulation: Perspectives, Insights, and Applications, edited by S. Y. Diallo, W. J. Wildman, F. L. Shults and A. Tolk, 67–79. Berlin: Springer. https://doi.org/10.1007/978-3-030-17090-5_4

Lane, Justin E. and F. LeRon Shults. 2018. “Cognition, Culture, and Social Simulation.” Journal of Cognition and Culture 18: 451–461. https://doi.org/10.1163/15685373-12340039

Lane, J. E. and F. L. Shults. 2019. “Can We Model Religious Behavior Using Computer Simulation?” In The Cognitive Science of Religion: A Methodological Introduction to Key Empirical Studies, edited by D. Jason Slone and William W. McCorkle, Jr., 123–132. London: Bloomsbury Academic. https://doi.org/10.5040/9781350033726.ch-012

Lawson, E. T. and R. N. McCauley. 1990. Rethinking Religion: Connecting Cognition and Culture. Cambridge: Cambridge University Press.

Mathieu, P. and J.-P. Delahaye. 2017. “New Winning Strategies for the Iterated Prisoner’s Dilemma.” Journal of Artificial Societies and Social Simulation 20(4): 1–22. https://doi.org/10.18564/jasss.3517

McCauley, R. N. and E. T. Lawson. 2002. Bringing Ritual to Mind: Psychological Foundations of Cultural Forms. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511606410

McCorkle, W. W. and J. E. Lane. 2012. “Ancestors in the Simulation Machine: Measuring the Transmission and Oscillation of Religiosity in Computer Modeling.” Religion, Brain & Behavior 2(3): 215–218. http://doi.org/10.1080/2153599X.2012.703454

Mitchell, D. and D. Taylor. 2018. “Game Theory.” In The International Encyclopedia of Anthropology, edited by H. Callan, 1–6. John Wiley & Sons. http://doi.org/10.1002/9781118924396.wbiea2053

Montavon, G., W. Samek and K. R. Müller. 2018. “Methods for Interpreting and Understanding Deep Neural Networks.” Digital Signal Processing: A Review Journal 73: 1–15. http://doi.org/10.1016/j.dsp.2017.10.011

Nowak, M. and K. Sigmund. 1993. “Chaos and the Evolution of Cooperation.” Proceedings of the National Academy of Sciences 90(11): 5091–5094. https://doi.org/10.1073/pnas.90.11.5091

Roos, P., M. Gelfand, D. Nau and J. Lun. 2015. “Societal Threat and Cultural Variation in the Strength of Social Norms: An Evolutionary Basis.” Organizational Behavior and Human Decision Processes 127: 14–23. http://doi.org/10.1016/j.obhdp.2015.01.003

Rybanska, V., R. Mckay, J. Jong and H. Whitehouse. 2018. “Rituals Improve Children’s Ability to Delay Gratification.” Child Development 89(2): 349–359. http://doi.org/10.1111/cdev.12762

Schelling, T. C. 1971. “Dynamic Models of Segregation.” The Journal of Mathematical Sociology 1: 143–186. http://doi.org/10.1080/0022250X.1971.9989794

Seshat Databank. 2017. Global History Databank. http://seshatdatabank.info/

Shults, F. L., R. Gore, W. J. Wildman, J. Christopher, J. E. Lane, and M. D. Toft. 2018. “A Generative Model of the Mutual Escalation of Anxiety Between Religious Groups.” Journal of Artificial Societies and Social Simulation 21(4): 1–25. http://doi.org/10.18564/jasss.3840

Shults, F. L., J. E. Lane, W. J. Wildman, S. Diallo, C. J. Lynch and R. Gore. 2017. “Modeling Terror Management Theory: A Computer Simulation of the Impact of Mortality Salience on Religiosity.” Religion, Brain & Behavior 8(1): 77–100. http://doi.org/10.1080/2153599X.2016.12388646

Shults, F. LeRon and Wesley J. Wildman. 2018. “Simulating Religious Entanglement and Social Investment in the Neolithic.” In Religion, History and Place in the Origin of Settled Life, edited by Ian Hodder, 33–63. Colorado Springs: University of Colorado Press. https://doi.org/10.2307/j.ctv3c0thf.6

———. 2019. “Ethics, Computer Simulation, and the Future of Humanity.” In Human Simulation: Perspectives, Insights and Applications, edited by Saikou Y. Diallo, Wesley J. Wildman, F. LeRon Shults, and Andreas Tolk, 21–40. New York: Springer. https://doi.org/10.1007/978-3-030-17090-5_2

Shults, F. L., W. J. Wildman, J. E. Lane, C. J. Lynch, and S. Diallo. 2018. “Multiple Axialities: A Computational Model of the Axial Age. Journal of Cognition & Culture 18(5): 537–564. http://doi.org/10.1163/15685373-12340043

Silver, D., J. Schrittwieser, K. Simonyan, I. Antonoglou, A. Huang, A. Guez, and D. Hassabis. 2017. “Mastering the Game of Go without Human Knowledge.” Nature 550(7676): 354–359. http://doi.org/10.1038/nature24270

Slone, J. and J. Van Slyke, eds. 2015. The Attraction of Religion: A New Evolutionary Psychology of Religion. London: Bloomsbury Academic.

Sørensen, J. and K. L. Nielbo. 2013. “Prediction Error during Functional and Non-Functional Action Sequences: A Computational Exploration of Ritual and Ritualized Event Processing.” Journal of Cognition and Culture 13(3–4): 347–365. http://doi.org/10.1163/15685373-12342098

Sun, R. and S. Hélie. 2013. “Psychologically Realistic Cognitive Agents: Taking Human Cognition Seriously.” Journal of Experimental & Theoretical Artificial Intelligence 25(1): 65–92. http://doi.org/10.1080/0952813X.2012.661236

Tinbergen, N. 1963. “On Aims and Methods of Ethology.” Zeitschrift für Tierpsychologie 20: 410–433. https://doi.org/10.1111/j.1439-0310.1963.tb01161.x

Toft, M. D., D. Philpott, and T. S. Shah. 2011. God’s Century: Resurgent Religion and Global Politics. New York: W.W. Norton & Co.

Tversky, A. and D. Kahneman. 1981. “The Framing of Decisions and the Psychology of Choice.” Science 211(4481): 453–458. https://doi.org/10.1126/science.7455683

Tversky, A., P. Slovic, and D. Kahneman. 1990. “The Causes of Preference Reversal.” The American Economic Review 80(1): 204–217.

Voosen, P. 2017. “The AI Detectives.” Science 357(6346): 22–27. http://doi.org/10.1126/science.357.6346.22

Whitehouse, H., J. Jong, M. D. Buhrmester, B. Bastian, C. M. Kavanagh, M. Newson, and S. Gavrilets. 2017. “The Evolution of Identity Fusion and Extreme Cooperation.” Nature Scientific Reports 7(44292): 1–10. http://doi.org/10.1038/srep44292

Whitehouse, H., K. Kahn, M. E. Hochberg and J. J. Bryson. 2012. “The Role for Simulations in Theory Construction for the Social Sciences: Case Studies concerning Divergent Modes of Religiosity.” Religion, Brain & Behavior 2(3): 182–201. http://doi.org/10.1080/2153599X.2012.691033

Wildman, W. J., F. L. Shults, S. Y. Diallo, R. Gore, J. Lane. “Post-Supernatural Cultures: There and Back Again.” Secularism & Nonreligion 9(6): 1–15. https://doi.org/10.5334/snr.121

Worden, L. and S. A. Levin. 2007. “Evolutionary Escape from the Prisoner’s Dilemma.” Journal of Theoretical Biology 245(3): 411–422. http://doi.org/10.1016/j.jtbi.2006.10.011