Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?
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Cited by:
- Felix Chopra & Ingar Haaland, 2023.
"Conducting qualitative interviews with AI,"
CEBI working paper series
23-06, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
- Felix Chopra & Ingar Haaland & Ingar K. Haaland, 2023. "Conducting Qualitative Interviews with AI," CESifo Working Paper Series 10666, CESifo.
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- Christoph Engel & Max R. P. Grossmann & Axel Ockenfels, 2023. "Integrating machine behavior into human subject experiments: A user-friendly toolkit and illustrations," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2024_01, Max Planck Institute for Research on Collective Goods.
- Emaad Manzoor & Nikhil Malik, 2023. "Designing Effective Music Excerpts," Papers 2309.14475, arXiv.org.
- Gary Charness & Brian Jabarian & John List, 2023.
"Generation Next: Experimentation with AI,"
Artefactual Field Experiments
00777, The Field Experiments Website.
- Gary Charness & Brian Jabarian & John A. List, 2023. "Generation Next: Experimentation with AI," NBER Working Papers 31679, National Bureau of Economic Research, Inc.
- Siting Lu, 2024. "Strategic Interactions between Large Language Models-based Agents in Beauty Contests," Papers 2404.08492, arXiv.org.
- Miguel Faria-e-Castro & Fernando Leibovici, 2023. "Artificial Intelligence and Inflation Forecasts," Working Papers 2023-015, Federal Reserve Bank of St. Louis, revised 26 Feb 2024.
- Joshua C. Yang & Marcin Korecki & Damian Dailisan & Carina I. Hausladen & Dirk Helbing, 2024. "LLM Voting: Human Choices and AI Collective Decision Making," Papers 2402.01766, arXiv.org.
- Kevin Leyton-Brown & Paul Milgrom & Neil Newman & Ilya Segal, 2023. "Artificial Intelligence and Market Design: Lessons Learned from Radio Spectrum Reallocation," NBER Chapters, in: New Directions in Market Design, National Bureau of Economic Research, Inc.
- Nir Chemaya & Daniel Martin, 2023. "Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals," Papers 2311.14720, arXiv.org, revised Jan 2024.
- Bauer, Kevin & Liebich, Lena & Hinz, Oliver & Kosfeld, Michael, 2023. "Decoding GPT's hidden "rationality" of cooperation," SAFE Working Paper Series 401, Leibniz Institute for Financial Research SAFE.
- Fulin Guo, 2023. "GPT in Game Theory Experiments," Papers 2305.05516, arXiv.org, revised Dec 2023.
- Lijia Ma & Xingchen Xu & Yong Tan, 2024. "Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines," Papers 2402.19421, arXiv.org.
- Yiting Chen & Tracy Xiao Liu & You Shan & Songfa Zhong, 2023.
"The emergence of economic rationality of GPT,"
Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 120(51), pages 2316205120-, December.
- Yiting Chen & Tracy Xiao Liu & You Shan & Songfa Zhong, 2023. "The Emergence of Economic Rationality of GPT," Papers 2305.12763, arXiv.org, revised Nov 2023.
- Ali Goli & Amandeep Singh, 2023. "Exploring the Influence of Language on Time-Reward Perceptions in Large Language Models: A Study Using GPT-3.5," Papers 2305.02531, arXiv.org, revised Jun 2023.
- Zengqing Wu & Shuyuan Zheng & Qianying Liu & Xu Han & Brian Inhyuk Kwon & Makoto Onizuka & Shaojie Tang & Run Peng & Chuan Xiao, 2024. "Shall We Talk: Exploring Spontaneous Collaborations of Competing LLM Agents," Papers 2402.12327, arXiv.org.
- Jiafu An & Difang Huang & Chen Lin & Mingzhu Tai, 2024. "Measuring Gender and Racial Biases in Large Language Models," Papers 2403.15281, arXiv.org.
- Keegan Harris & Nicole Immorlica & Brendan Lucier & Aleksandrs Slivkins, 2023. "Algorithmic Persuasion Through Simulation," Papers 2311.18138, arXiv.org, revised Apr 2024.
- Leland Bybee, 2023. "Surveying Generative AI's Economic Expectations," Papers 2305.02823, arXiv.org, revised May 2023.
- Van Pham & Scott Cunningham, 2024. "ChatGPT Can Predict the Future when it Tells Stories Set in the Future About the Past," Papers 2404.07396, arXiv.org, revised Apr 2024.
- Philip Brookins & Jason DeBacker, 2024. "Playing games with GPT: What can we learn about a large language model from canonical strategic games?," Economics Bulletin, AccessEcon, vol. 44(1), pages 25-37.
- Zengqing Wu & Run Peng & Xu Han & Shuyuan Zheng & Yixin Zhang & Chuan Xiao, 2023. "Smart Agent-Based Modeling: On the Use of Large Language Models in Computer Simulations," Papers 2311.06330, arXiv.org, revised Dec 2023.
- Rosa-García, Alfonso, 2024. "Student Reactions to AI-Replicant Professor in an Econ101 Teaching Video," MPRA Paper 120135, University Library of Munich, Germany.
- Yan Leng & Yuan Yuan, 2023. "Do LLM Agents Exhibit Social Behavior?," Papers 2312.15198, arXiv.org, revised Feb 2024.
- George Gui & Olivier Toubia, 2023. "The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective," Papers 2312.15524, arXiv.org.
More about this item
JEL classification:
- D0 - Microeconomics - - General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2023-05-22 (Big Data)
- NEP-CMP-2023-05-22 (Computational Economics)
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