Bounded Normative Equivalence in Human-AI Cooperation: Group Behaviour, Not Partner Labels, Predicts Cooperation under Anonymous Aggregate Feedback

Read full text
Authors: Nico Mutzner, Taha Yasseri, Heiko Rauhut
Cited by: 0

Abstract

Data and analysis code for "Bounded Normative Equivalence in Human–AI Cooperation: Group Behaviour, Not Partner Labels, Predicts Cooperation under Anonymous Aggregate Feedback" (Mutzner, Yasseri & Rauhut). 236 participants played a ten-round public goods game in a fixed group of four, three humans plus a simulated fourth player whose algorithm was identical across conditions and whose label was the only manipulation ("4 human players" vs "3 human players and 1 AI agent"). Feedback was anonymous and aggregate. Contains the analysis dataset (3,660 participant-rounds), a single R script reproducing every reported statistic and figure, and a codebook. Preregistration: AsPredicted #234,846 https://aspredicted.org/wd7j-jyg5.pdf

Fields of Study & Subjects

Experimental Behavioral Economics Studies Evolutionary Game Theory and Cooperation Social Power and Status Dynamics

Publication details

Journal / source
arXiv (Cornell University)
Publication date
1 January 2026
Language
EN
Document type
Preprint