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Social simulation through large language model (LLM) agents is a promising approach to explore and validate hypotheses related to social science questions and LLM agents behavior.
Social influence model: A formal integration of research on majority and minority influence processes
Sarah Tanford and Steven Penrod. 1984 · 1984
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Growing Artificial Societies: Social Science from the Bottom Up
Joshua M. Epstein and Robert Axtell. 1996 · 1996
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Agent-based social simulation: dealing with complexity
Nigel Gilbert. 2005 · 2005
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Coordinating multi-dimensional support in collaborative conversational agents
David Adamson and Carolyn Penstein Rosé. 2012 · 2012
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Majority and minority influence
John M Levine and Radmila Prislin. 2012 · 2012
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On the role of personality, cognitive ability, and emotional intelligence in predicting negotiation outcomes
Sudeepa Sharma, W. Bottom, and Hillary Anger Elfenbein. 2013 · 2013
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Psychopathic personality traits predict competitive wins and cooperative losses in negotiation
L. Brinke, P. Black, S. Porter, and D. Carney. 2015 · 2015
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Personality and negotiation performance: The people matter
Mary Sass and Matthew Liao-Troth. 2015 · 2015
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Personality similarity in negotiations: Testing the dyadic effects of similarity in interpersonal traits and the use of emotional displays on negotiation outcomes
Kelly Schwind Wilson, D. S. Derue, Fadel K. Matta, Michael Howe, and Donald E Conlon. 2016 · 2016
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The dynamics of polarization and compromise in conflict situations: The interaction between cultural traits and majority–minority influence
Jung-Hyun Kim and Jinhee Kim. 2017 · 2017
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Moral Foundations Theory , pages 1–11
Ain Simpson. 2017 · 2017
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Predicting negotiation performance from personality traits: A field study across multiple occupations
Sudeepa Sharma, Hillary Anger Elfenbein, Jeff L. Foster, and W. Bottom. 2018 · 2018
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Compost: Characterizing and evaluating caricature in llm simulations
Myra Cheng, Tiziano Piccardi, and Diyi Yang. 2023 · 2023
Cited alongside, same era.
Anthropomorphization of ai: Opportunities and risks
Ameet Deshpande, Tanmay Rajpurohit, Karthik Narasimhan, and Ashwin Kalyan. 2023 · 2023
Cited alongside, same era.
S3: Social-network simulation system with large language model-empowered agents
Chen Gao, Xiaochong Lan, Zhihong Lu, Jinzhu Mao, Jinghua Piao, Huandong Wang, Depeng Jin, and Yong Li. 2023 · 2023
Cited alongside, same era.
Lyfe agents: Generative agents for low-cost real-time social interactions
Zhao Kaiya, Michelangelo Naim, Jovana Kondic, Manuel Cortes, Jiaxin Ge, Shuying Luo, Guangyu Robert Yang, and Andrew Ahn. 2023 · 2023
Cited alongside, same era.
How personality traits influence negotiation outcomes? a simulation based on large language models
Yin Jou Huang and Rafik Hadfi. 2024 · 2024
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Evaluating cultural adaptability of a large language model via simulation of synthetic personas
Louis Kwok, Michal Bravansky, and Lewis D. Griffin. 2024 · 2024
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Automated social science: Language models as scientist and subjects
Benjamin S. Manning, Kehang Zhu, and John J. Horton. 2024 · 2024
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Self-alignment of large language models via monopolylogue-based social scene simulation
Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, and Siheng Chen. 2024 · 2024
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Yuan Li, Yixuan Zhang, and Lichao Sun. 2023 · 2023
Cited alongside, same era.
Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. 2023 · 2023
Cited alongside, same era.
Alexander Sasha Vezhnevets, John P Agapiou, Avia Aharon, Ron Ziv, Jayd Matyas, Edgar A Duéñez-Guzmán, William A Cunningham, Simon Osindero, Danny Karmon, and Joel Z Leibo. 2023 · 2023
Cited alongside, same era.
Autogen: Enabling next-gen llm applications via multi-agent conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, Ahmed Hassan Awadallah, Ryen W White, Doug Burger, and Chi Wang. 2023 · 2023
Cited alongside, same era.
Can Large Language Models Transform Computational Social Science?
Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, and Diyi Yang. 2023 · 2023
Cited alongside, same era.
How well can llms negotiate? negotiationarena platform and analysis
Federico Bianchi, Patrick John Chia, Mert Yuksekgonul, Jacopo Tagliabue, Dan Jurafsky, and James Zou. 2024 · 2024
Cited alongside, same era.
CREW AI: Collaborative Research for Ethical AI
CREW AI · 2024
Cited alongside, same era.
Evolution of social norms in llm agents using natural language
Ilya Horiguchi, Takahide Yoshida, and Takashi Ikegami. 2024 · 2024
Cited alongside, same era.
Joon Sung Park, Carolyn Q. Zou, Aaron Shaw, Benjamin Mako Hill, Carrie Cai, Meredith Ringel Morris, Robb Willer, Percy Liang, and Michael S. Bernstein. 2024 · 2024
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Large language models are inconsistent and biased evaluators
Rickard Stureborg, Dimitris Alikaniotis, and Yoshi Suhara. 2024 · 2024
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Ai-liedar: Examine the trade-off between utility and truthfulness in llm agents
Zhe Su, Xuhui Zhou, Sanketh Rangreji, Anubha Kabra, Julia Mendelsohn, Faeze Brahman, and Maarten Sap. 2024 · 2024
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Do llms exhibit human-like response biases? a case study in survey design
Lindia Tjuatja, Valerie Chen, Tongshuang Wu, Ameet Talwalkwar, and Graham Neubig. 2024 · 2024
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Sotopia- π \pi : Interactive learning of socially intelligent language agents
Ruiyi Wang, Haofei Yu, Wenxin Zhang, Zhengyang Qi, Maarten Sap, Graham Neubig, Yonatan Bisk, and Hao Zhu. 2024 · 2024
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Oasis: Open agent social interaction simulations with one million agents
Ziyi Yang, Zaibin Zhang, Zirui Zheng, Yuxian Jiang, Ziyue Gan, Zhiyu Wang, Zijian Ling, Jinsong Chen, Martz Ma, Bowen Dong, Prateek Gupta, Shuyue Hu, Zhenfei Yin, Guohao Li, Xu Jia, Lijun Wang, Bernard Ghanem, Huchuan Lu, Chaochao Lu, Wanli Ouyang, Yu Qiao, Philip Torr, and Jing Shao. 2024 · 2024
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Is this the real life? is this just fantasy? the misleading success of simulating social interactions with LLMs
Xuhui Zhou, Zhe Su, Tiwalayo Eisape, Hyunwoo Kim, and Maarten Sap. 2024b · 2024
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