72-holland-1991

Foundational Papers in Complexity Science pp. 2269–2283
DOI: 10.37911/9781947864559.72

Economics for Humans

Author: Richard Bookstaber

 

Excerpt

It seems self-evident that people are different from one another. We each have a different way of looking at the world, a different approach to making decisions. People also change. We are shaped by our individual experience  and  by  changes  in  our  environment,  so  how  we  make decisions today might not be the way we do so tomorrow. Such is the world in which we reside. It is also a world in which the artificial adaptive agents described by John Holland and John Miller reside. Their brief paper speaks to an approach to economic modeling based on simulations rather than mathematical solutions, an approach that can address problems that are beyond the reach of the tools common in economic theory.

Holland and Miller’s models can be summarized as executing in three steps:

  1. Each agent observes its environment and takes action based on its heuristic.

  2. The actions of the agents change the environment.

  3. Each agent observes the change in its environment, adjusts its heuristic accordingly, and takes action in the next time step.

Two  key  features  of  the  agents  are  that  they  are  adaptive and  heterogeneous:  adaptive  in  that  they  react  to  changes  in  the environment and do so based on heuristics that might themselves change based on the new environment; heterogeneous in that the various agents see different aspects of the environment and act based on different heuristics.

Bibliography

Bookstaber, R. 2017. The End of Theory. Princeton, NJ: Princeton University Press.

Gigerenzer, G., J. Reb, and S. Luan. 2022. “Smart Heuristics for Individuals, Teams, and Organizations.” Annual Review of Organizational Psychology and Organizational Behavior 9:171–198. https://doi.org/10.1146/annurev-orgpsych-012420-090506.

Gualdi, S., M. Tarzia, F Zamponi, and J. P. Bouchaud. 2015. “Tipping Points in Macroeconomic Agent- Based Models.” Journal of Economic Dynamics and Control, 50:29–61. https://doi.org/10.1016/j.jedc.2014.08.003.

Lux, T. 2009. “Hens, T. and Schenk-Hoppé, K. R.” In Handbook of Financial Markets: Dynamics and Evolution, 161–215. North-Holland. https://doi.org/10.1016/B978-012374258-2.50007-5.

Palmer, R., W. B. Arthur, J. H. Holland, B. LeBaron, and P. Tayler. 1994. “Artificial Economic Life: A Simple Model of a Stock Market.” Physica D 75:264–274. https://doi.org/10.1016/0167-2789(94)90287-9.

Steinbacher, M., M. Raddant, F. Karimi, E. C. Camacho-Cuena, S. Alfarano, G. Iori, and T. Lux. 2021. “Advances in the Agent-Based Modeling of Economic and Social Behavior.” SN Business and Economics 1:99. https://doi.org/10.1007/s43546-021-00103-3.

BACK TO Foundational Papers in Complexity Science