Test MaxEnt in Social Strategy Transitions with Experimental Two-Person Constant Sum 2$\times$2 Games

TL;DR

This paper investigates social strategy transitions in two-person constant sum games, finding that human behavior follows the maximum entropy principle, suggesting commonalities with natural systems.

Contribution

It provides experimental evidence that social strategy transitions in such games adhere to MaxEnt, a novel insight into human decision-making patterns.

Findings

Transitions follow the maximum entropy principle

Human social systems share features with natural systems

Behavioral data supports MaxEnt in strategic choices

Abstract

By using laboratory experimental data, we test the uncertainty of social strategy transitions in various competing environments of fixed paired two-person constant sum $2 \times 2$ games. It firstly shows that, the distributions of social strategy transitions are not erratic but obey the principle of the maximum entropy (MaxEnt). This finding indicates that human subject social systems and natural systems could have wider common backgrounds.