Below is an extremely small subset of [ my favorite ]* publications by topic. This list is by no means comprehensive, just a couple of the first (read: biased) things that come to mind.
Agent-Based / Complex Systems Modeling
- Riolo, Axelrod, and Cohen. 2001. Nature. Evolution of cooperation without reciprocity.
- Axelrod. 2005. Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics. Agent-based modeling as a bridge between disciplines.
- Axtell, Axelrod, Eptsein, and Cohen. 1995. Computational and Mathematical Organization Theory. Aligning simulation models: a case study and results.
- Miller and Page. 2004. Complexity. The standing ovation problem.
- Mitchell and Newman. 2002. Encyclopedia of Evolution. Complex systems theory and evolution.
- Schelling. 1971. Journal of Mathematical Sociology. Dynamic models of segregation.
- Epstein. 2006. Generative Social Science. Agent-based computational models.
- Epstein. 2008. Journal of Artificial Societies and Social Simulation. Why model?
Agent-Based / Complex Systems Modeling in Epidemiology and Public Health
- Galea, Riddle, and Kaplan. 2010. International Journal of Epidemiology. Causal thinking and complex system approaches in epidemiology.
- Marshall and Galea. 2015. American Journal of Epidemiology. Formalizing the role of agent-based modeling in causal inference and epidemiology.
- Auchincloss, Riolo, Brown, Cook, and Diez Roux. 2011. American Journal of Preventative Medicine. An agent-based model of income inequalities in diet in the context of residential segregation.
- Diez Roux. 2011. American Journal of Public Health. Complex systems thinking and current impasses in health disparities research.
- Resnicow and Page. 2008. American Journal of Public Health. Embracing chaos and complexity: a quantum change for public health.
- Yang, Diez Roux, Auchincloss, Rodriguez, and Brown. 2012. Health and Place. Exploring walking differences by socioeconomic status using a spatial agent-based model.
- Adams and Schaefer. 2016. Journal of Health and Social Behavior. How initial prevalence moderates network-based smoking change: estimating contextual effects with stochastic actor-based models.
*Special or interesting in some way to me and avoids provoking the attention deficit monster that lurks in my brain pool. n.b., Some of the papers here have (known and unknown) flaws, but I’ve taken these apart and put them back together, and no matter how I do it, I still think they’re great 🙂