CRITICAL TRANSITIONS AND EARLY WARNING SIGNALS IN REPEATED COOPERATION GAMES

Authored by Christian Hofer, Georg Jaeger, Manfred Fuellsack

Date Published: 2018

DOI: 10.3934/jdg.2018014

Sponsors: No sponsors listed

Platforms: No platforms listed

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

Scanning a system's dynamics for critical transitions, i.e. sudden shifts from one system state to another, with the methodology of Early Warning Signals has been shown to yield promising results in many scientific fields. So far however, such investigations focus on aggregated system dynamics modeled with equation-based methods. In this paper the methodology of Early Warning Signals is applied to critical transitions found in the context of Cooperation Games. Since equation-based methods are not well suited to account for interactions in game theoretic settings, an agent-based model of a repeated Cooperation Game is used to generate data. We find that Early Warning Signals can be detected in agent-based simulations of such systems.

Tags

Agent-based models Onset Critical transition Early warning signals Cooperation games Repeated games Epileptic seizures