The biased interaction game: Its dynamics and application in modelling social systems
A new game theory model explains how bias and scarcity naturally create hierarchy and inequality in societies.
Researchers Phil Mercy and Martin Neil have published a significant paper titled 'The biased interaction game: Its dynamics and application in modelling social systems' on arXiv. The 28-page study introduces a game theory framework that models how social systems develop hierarchy and inequality as emergent properties when bias and scarcity influence interactions. The model demonstrates that bias—whether from power imbalances or resource scarcity—fundamentally shapes system outcomes, including the likelihood of cooperation emerging within groups.
The paper shows how the biased interaction game can successfully model diverse social systems, from extreme examples like hyper-capitalism to social egalitarianism. One key finding reveals that biased systems exhibit non-linear behavior, with long periods of stability interrupted by brief bursts of rapid hierarchical change—mirroring real-world patterns of social mobility. The researchers conclude with a practical application, using their model to compare the merits of two wealth redistribution philosophies: social welfare systems versus universal basic income approaches.
- Game theory model shows how bias and scarcity naturally create hierarchy and inequality in social systems
- Demonstrates non-linear system behavior with 28 pages of analysis and 24 supporting figures
- Can model extreme systems from hyper-capitalism to social egalitarianism and compare policy approaches
Why It Matters
Provides mathematical framework for understanding social inequality emergence and testing policy interventions before real-world implementation.