Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/301202 
Erscheinungsjahr: 
2024
Schriftenreihe/Nr.: 
Discussion Papers of the Max Planck Institute for Research on Collective Goods No. 2024/1
Verlag: 
Max Planck Institute for Research on Collective Goods, Bonn
Zusammenfassung: 
Large Language Models (LLMs) have the potential to profoundly transform and enrich experimental economic research. We propose a new software framework, "alter_ego", which makes it easy to design experiments between LLMs and to integrate LLMs into oTree-based experiments with human subjects. Our toolkit is freely available at github.com/mrpg/ego. To illustrate, we run differently framed prisoner's dilemmas with interacting machines as well as with human-machine interaction. Framing effects in machine-only treatments are strong and similar to those expected from previous human-only experiments, yet less pronounced and qualitatively different if machines interact with human participants.
Schlagwörter: 
Software for experiments
large language models
human-machine interaction
framing
JEL: 
C91
C92
D91
O33
L86
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Working Paper

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