The biased interaction game: Its dynamics and application in modelling social systems

TL;DR

This paper explores a game-theoretic model of social systems influenced by bias, demonstrating how hierarchy, inequality, and cooperation emerge, with applications to extreme economic systems and wealth redistribution philosophies.

Contribution

It introduces the biased interaction game as a tool for modeling social systems, highlighting its ability to simulate non-linear dynamics and extreme societal configurations.

Findings

Bias influences hierarchy and inequality emergence.

The model captures non-linear social mobility patterns.

Applicable to modeling extreme economic and social systems.

Abstract

The biased interaction game described the operation of systems rooted in boundedly rational interactions under conditions of scarcity. The game explored the influence of bias and demonstrated how hierarchy and inequality are emergent system properties when sources of bias, such as power and scarcity, affect the outcome of interactions in an environment. Bias also impacts the likelihood of the emergence of cooperation. This paper serves as a companion piece to the paper introducing the biased interaction game. It investigates the general applicability of the game and demonstrates how the consideration of bias can modify and improve upon prior systems thinking. In particular, it shows how social systems can be successfully modelled using the biased interaction game and confirms its suitability for modelling extreme examples such as hyper-capitalism and social egalitarianism. It also reveals how biased systems can demonstrate non-linear behaviour, where long periods of system stability are punctuated by short bursts of rapid hierarchical transitions, mimicking real-world observations of social mobility. The paper concludes with a simplified real-world application, modelling the merits of two competing wealth redistribution philosophies: social welfare and a universal basic income