Below are applications of the CEMMA game.

Emergence of multilevel selection

Coauthors: Garry Sotnik, Maxim Davidovsky, & Egor Fedorenko


Date published:

Journal article: Download

The model: Download

Abstract: Our ability to manage common-pool resources is challenged by our limited understanding of the related cognitive, behavioral, social, and demographic processes, and how they interact and coevolve among themselves and with ecological processes. Our limited understanding stems in part from the reductionist approaches we apply in theorizing about social-ecological contexts. Social-ecological theory can benefit from greater integration among relevant theories from both across and within disciplines. With the aim of improving our ability to analyze common-pool resource management, we introduce a new interdisciplinary spatiotemporal game, called CEMMA (Co-Evolutionary, Multilevel, & Multi-Agent), which simulates co-evolutionary multilevel interaction among cognitive, behavioral, social, and demographic processes of a population of agents. For demonstration, we describe a simple example configuration of the game that emerges multilevel (group) selection. In addition to serving as a new interdisciplinary tool for common-pool resource management analysis, CEMMA is also a contribution to a new category of evolutionary multilevel games.

Keywords: common-pool resource management, game theory, multi-agent, multilevel selection.