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As LLM-based agents become increasingly autonomous and will more freely interact with each other, studying the interplay among them becomes crucial to anticipate emergent phenomena and potential risks.
Investigating causal relations by econometric models and cross-spectral methods
Clive WJ Granger · 1969
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The stanford prison experiment: A simulation study of the psychology of imprisonment
Philip G. Zimbardo, Craig Haney, Curtis Banks, and David Jaffe · 1971
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Why not a sociology of machines? the case of sociology and artificial intelligence
Steve Woolgar · 1985
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Retrospectives: The ethology of homo economicus
Joseph Persky · 1995
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Intelligent agents: theory and practice
Michael Wooldridge and Nicholas R. Jennings · 1995
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Econometric methods for fractional response variables with an application to 401(k) plan participation rates
Leslie E. Papke and Jeffrey M. Wooldridge · 1996
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Rethinking the psychology of tyranny: The bbc prison study
Stephen Reicher and S. Alexander Haslam · 2006
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How do we optimally conceptualize the heterogeneity within antisocial behavior? an argument for aggressive versus non-aggressive behavioral dimensions
S. Alexandra Burt · 2012
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Open problems in cooperative ai, 2020
Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, and Thore Graepel · 2012
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Contesting the "nature" of conformity: What milgram and zimbardo’s studies really show
S. Alexander Haslam and Stephen D. Reicher · 2012
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Classification and treatment of antisocial individuals: From behavior to biocognition
I.A. Brazil, J.D.M. van Dongen, J.H.R. Maes, R.B. Mars, and A.R. Baskin-Sommers · 2016
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Debunking the stanford prison experiment
Thibault Le Texier · 2019
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Artificial Intelligence: A Modern Approach
Stuart J. Russell and Peter Norvig · 2020
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ToxiGen: A large-scale machine-generated dataset for adversarial and implicit hate speech detection
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, and Ece Kamar · 2022
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Out of one, many: Using language models to simulate human samples
Lisa P. Argyle, Ethan C. Busby, Nancy Fulda, Joshua R. Gubler, Christopher Rytting, and David Wingate · 2023
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Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, and Yi Zhang · 2023
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Compost: Characterizing and evaluating caricature in llm simulations
Myra Cheng, Tiziano Piccardi, and Diyi Yang · 2023
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Can ai language models replace human participants?
Danica Dillion, Niket Tandon, Yuling Gu, and Kurt Gray · 2023
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PAL: Program-aided language models
Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, and Graham Neubig · 2023
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Large language models as simulated economic agents: What can we learn from homo silicus?
John J Horton · 2023
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War and peace (waragent): Large language model-based multi-agent simulation of world wars
Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, and Yongfeng Zhang · 2023
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Llama guard: Llm-based input-output safeguard for human-ai conversations
Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, et al · 2023
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Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2023
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Ai-augmented surveys: Leveraging large language models and surveys for opinion prediction
Junsol Kim and Byungkyu Lee · 2023
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Theory of mind for multi-agent collaboration via large language models
Huao Li, Yu Chong, Simon Stepputtis, Joseph Campbell, Dana Hughes, Charles Lewis, and Katia Sycara · 2023
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Orca 2: Teaching small language models how to reason, 2023
Arindam Mitra, Luciano Del Corro, Shweti Mahajan, Andres Codas, Clarisse Simoes, Sahaj Agarwal, Xuxi Chen, Anastasia Razdaibiedina, Erik Jones, Kriti Aggarwal, Hamid Palangi, Guoqing Zheng, Corby Rosset, Hamed Khanpour, and Ahmed Awadallah · 2023
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Do language models exhibit the same cognitive biases in problem solving as human learners?
Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, and Mrinmaya Sachan · 2024
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Openai moderation api
OpenAI · 2024
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OpenAI, Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, Red Avila, Igor Babuschkin, et al · 2024
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Francesco Salvi, Manoel Horta Ribeiro, Riccardo Gallotti, and Robert West · 2024
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Simulating social media using large language models to evaluate alternative news feed algorithms
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Synthetic replacements for human survey data? the perils of large language models
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How large language models can reshape collective intelligence
Jason W Burton, Ezequiel Lopez-Lopez, Shahar Hechtlinger, Zoe Rahwan, Samuel Aeschbach, Michiel A Bakker, Joshua A Becker, Aleks Berditchevskaia, Julian Berger, Levin Brinkmann, Lucie Flek, Stefan M Herzog, Saffron Huang, Sayash Kapoor, Arvind Narayanan, Anne-Marie Nussberger, Taha Yasseri, Pietro Nickl, Abdullah Almaatouq, Ulrike Hahn, Ralf HJM Kurvers, Susan Leavy, Iyad Rahwan, Divya Siddarth, Alice Siu, Anita W Woolley, Dirk U Wulff, and Ralph Hertwig · 2024
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Jailbreakbench: An open robustness benchmark for jailbreaking large language models
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Incarceration Games: A History of Role-Play in Psychology, Prisons, and Performance
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Systematic biases in llm simulations of debates
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Gemini: A family of highly capable multimodal models, 2024
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The llama 3 herd of models, 2024
AI@Meta Team Llama, Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, et al · 2024
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Experimental evidence that conversational artificial intelligence can steer consumer behavior without detection, 2024
Tobias Werner, Ivan Soraperra, Emilio Calvano, David C Parkes, and Iyad Rahwan · 2024
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Can large language model agents simulate human trust behaviors?, 2024
Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip Torr, and Guohao Li Bernard Ghanem · 2024
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Measuring social norms of large language models
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Llm social simulations are a promising research method
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Emergent social conventions and collective bias in llm populations
Ariel Flint Ashery, Luca Maria Aiello, and Andrea Baronchelli · 2025
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Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents, May 2025
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Moloch’s bargain: Emergent misalignment when llms compete for audiences
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Multi-Agent Risks from Advanced AI, February 2025
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