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LLM-based digital twin simulation, where large language models are used to emulate individual human behavior, holds great promise for research in AI, social science, and digital experimentation.
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Tversky, A. and Kahneman, D. (1974) · 1974
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The framing of decisions and the psychology of choice
Tversky, A. and Kahneman, D. (1981) · 1981
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An experimental analysis of ultimatum bargaining
Güth, W., Schmittberger, R., and Schwarze, B. (1982) · 1982
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Development of reliable and valid short forms of the marlowe-crowne social desirability scale
Reynolds, W. M. (1982) · 1982
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Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment
Tversky, A. and Kahneman, D. (1983) · 1983
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The efficient assessment of need for cognition
Cacioppo, J. T., Petty, R. E., and Feng Kao, C. (1984) · 1984
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Revision of the self-monitoring scale
Lennox, R. D. and Wolfe, R. N. (1984) · 1984
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Self-concept discrepancy theory: A psychological model for distinguishing among different aspects of depression and anxiety
Higgins, E. T., Klein, R., and Strauman, T. (1985) · 1985
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Mental accounting and consumer choice
Thaler, R. (1985) · 1985
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Beck depression inventory
Date, C. (1987) · 1987
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Outcome bias in decision evaluation
Baron, J. and Hershey, J. C. (1988) · 1988
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An inventory for measuring clinical anxiety: psychometric properties
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Self-concept clarity: Measurement, personality correlates, and cultural boundaries
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Converging measurement of horizontal and vertical individualism and collectivism
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The big-five trait taxonomy: History, measurement, and theoretical perspectives
John, O. P., Srivastava, S., et al. (1999) · 1999
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Perspective taking as egocentric anchoring and adjustment
Epley, N., Keysar, B., Van Boven, L., and Gilovich, T. (2004) · 2004
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Regulatory focus scale (rfs): Development of a scale to record dispositional regulatory focus
Fellner, B., Holler, M., Kirchler, E., and Schabmann, A. (2007) · 2007
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The abstract selection task: new data and an almost comprehensive model
Klauer, K. C., Stahl, C., and Erdfelder, E. (2007) · 2007
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A short form of the maximization scale: Factor structure, reliability and validity studies
Nenkov, G. Y., Morrin, M., Ward, A., Schwartz, B., and Hulland, J. (2008) · 2008
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Tightwads and spendthrifts
Rick, S. I., Cryder, C. E., and Loewenstein, G. (2008) · 2008
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Consumers’ need for uniqueness: short-form scale development and cross-cultural validation
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
Aher, G. V., Arriaga, R. I., and Kalai, A. T. (2023) · 2023
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Out of One, Many: Using Language Models to Simulate Human Samples
Argyle, L. P., Busby, E. C., Fulda, N., Gubler, J. R., Rytting, C., and Wingate, D. (2023) · 2023
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Using GPT for Market Research
Brand, J., Israeli, A., and Ngwe, D. (2023) · 2023
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Prompt architecture can induce methodological artifacts in large language models
Brucks, M. and Toubia, O. (2023) · 2023
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Can AI language models replace human participants?
Dillion, D., Tandon, N., Gu, Y., and Gray, K. (2023) · 2023
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The challenge of using llms to simulate human behavior: A causal inference perspective
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Ruvio, A., Shoham, A., and Brenčič, M. M. (2008) · 2008
Cited alongside, same era.
On the relative independence of thinking biases and cognitive ability
Stanovich, K. E. and West, R. F. (2008) · 2008
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Item selection and validation of a brief, 15-item version of the need for closure scale
Roets, A. and Van Hiel, A. (2011) · 2011
Cited alongside, same era.
Agentic and communal values: Their scope and measurement
Trapnell, P. D. and Paulhus, D. L. (2012) · 2012
Cited alongside, same era.
The basic empathy scale in adults (bes-a): factor structure of a revised form
Carré, A., Stefaniak, N., d’Ambrosio, F., Bensalah, L., and Besche-Richard, C. (2013) · 2013
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Seeing the world through green-tinted glasses: Green consumption values and responses to environmentally friendly products
Haws, K. L., Winterich, K. P., and Naylor, R. W. (2014) · 2014
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An introduction to the understanding america study internet panel
Alattar, L., Messel, M., and Rogofsky, D. (2018) · 2018
Cited alongside, same era.
Gui, G. and Toubia, O. (2023) · 2023
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Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?
Horton, J. J. (2023) · 2023
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Generative Agents: Interactive Simulacra of Human Behavior
Park, J. S., O’Brien, J. C., Cai, C. J., Morris, M. R., Liang, P., and Bernstein, M. S. (2023) · 2023
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Pew research center survey datasets
Center, P. R. (2023) · 2024
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The people think what i think: False consensus and unelected elite misperception of public opinion
Furnas, A. C. and LaPira, T. M. (2024) · 2024
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Predicting results of social science experiments using large language models
Hewitt, L., Ashokkumar, A., Ghezae, I., and Willer, R. (2024) · 2024
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Exposing omitted moderators: Explaining why effect sizes differ in the social sciences
Krefeld-Schwalb, A., Sugerman, E. R., and Johnson, E. J. (2024) · 2024
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More human than human: measuring chatgpt political bias
Motoki, F., Pinho Neto, V., and Rodrigues, V. (2024) · 2024
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Generative agent simulations of 1,000 people
Park, J. S., Zou, C. Q., Shaw, A., Hill, B. M., Cai, C., Morris, M. R., Willer, R., Liang, P., and Bernstein, M. S. (2024) · 2024
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Aiturk: Using chatgpt for social science research
Qin, X., Huang, M., and Ding, J. (2024) · 2024
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Llm generated persona is a promise with a catch
Li, A., Chen, H., Namkoong, H., and Peng, T. (2025) · 2025
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