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Modeling subrational agents, such as humans or economic households, is inherently challenging due to the difficulty in calibrating reinforcement learning models or collecting data that involves human subjects.
A behavioral model of rational choice
Simon, H. A · 1955
Earlier work this paper cites.
The structure of scientific revolutions
Kuhn, T. S · 1964
Earlier work this paper cites.
Consistent planning
Pollak, R. A · 1968
Earlier work this paper cites.
Attention in delay of gratification
Mischel, W. and Ebbesen, E. B · 1970
Earlier work this paper cites.
The illusion of control
Langer, E. J · 1975
Earlier work this paper cites.
Prospect theory: An analysis of decision under risk
Kahneman, D. and Tversky, A · 1979
Earlier work this paper cites.
An experimental analysis of ultimatum bargaining
Güth, W., Schmittberger, R., and Schwarze, B · 1982
Earlier work this paper cites.
Academic procrastination: Frequency and cognitive-behavioral correlates
Solomon, L. J. and Rothblum, E. D · 1984
Earlier work this paper cites.
Affective, cognitive, and behavioral differences between high and low procrastinators
Rothblum, E. D., Solomon, L. J., and Murakami, J · 1986
Earlier work this paper cites.
Anomalies: The ultimatum game
Thaler, R. H · 1988
Earlier work this paper cites.
Picoeconomics: The strategic interaction of successive motivational states within the person
Ainslie, G · 1992
Earlier work this paper cites.
Advances in prospect theory: Cumulative representation of uncertainty
Tversky, A. and Kahneman, D · 1992
Earlier work this paper cites.
Hyperbolic discounting and consumption
Laibson, D. I · 1994
Earlier work this paper cites.
Myopic loss aversion and the equity premium puzzle
Benartzi, S. and Thaler, R. H · 1995
Earlier work this paper cites.
Rate of temporal discounting decreases with amount of reward
Green, L., Myerson, J., and McFadden, E · 1997
Earlier work this paper cites.
Models of bounded rationality: Empirically grounded economic reason , volume 3
Simon, H. A · 1997
Earlier work this paper cites.
The effect of myopia and loss aversion on risk taking: An experimental test
Thaler, R. H., Tversky, A., Kahneman, D., and Schwartz, A · 1997
Earlier work this paper cites.
Doing it now or later
O’Donoghue, T. and Rabin, M · 1999
Earlier work this paper cites.
Patterns of academic procrastination
Day, V., Mensink, D., and O’Sullivan, M · 2000
Earlier work this paper cites.
Algorithms for inverse reinforcement learning
Ng, A. Y., Russell, S., et al · 2000
Earlier work this paper cites.
The hyperbolic consumption model: Calibration, simulation, and empirical evaluation
Angeletos, G.-M., Laibson, D., Repetto, A., Tobacman, J., and Weinberg, S · 2001
Earlier work this paper cites.
Time discounting and time preference: A critical review
Frederick, S., Loewenstein, G., and O’donoghue, T · 2002
Earlier work this paper cites.
The neural basis of economic decision-making in the ultimatum game
Sanfey, A. G., Rilling, J. K., Aronson, J. A., Nystrom, L. E., and Cohen, J. D · 2003
Earlier work this paper cites.
Agent-based computational finance
LeBaron, B · 2006
Earlier work this paper cites.
Neural mechanisms mediating optimism bias
Sharot, T., Riccardi, A. M., Raio, C. M., and Phelps, E. A · 2007
Earlier work this paper cites.
The economy needs agent-based modelling
Farmer, J. D. and Foley, D · 2009
Earlier work this paper cites.
Animal spirits: How human psychology drives the economy, and why it matters for global capitalism
Akerlof, G. A. and Shiller, R. J · 2010
Earlier work this paper cites.
Present-bias, quasi-hyperbolic discounting, and fixed costs
Benhabib, J., Bisin, A., and Schotter, A · 2010
Cited alongside, same era.
Intertemporal choice
Chabris, C. F., Laibson, D. I., and Schuldt, J. P · 2010
Cited alongside, same era.
Thirty years of prospect theory in economics: A review and assessment
Barberis, N. C · 2013
Cited alongside, same era.
Neuroeconomics: Chapter 2. Experimental Economics and Experimental Game Theory
Houser, D. and McCabe, K · 2013
Cited alongside, same era.
Self-selection into laboratory experiments: pro-social motives versus monetary incentives
Abeler, J. and Nosenzo, D · 2015
Cited alongside, same era.
Ethics and experiments: Problems and solutions for social scientists and policy professionals
Desposato, S · 2015
Cited alongside, same era.
Large language models are reasoning teachers
Ho, N., Schmid, L., and Yun, S.-Y · 2022
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Model-based imitation learning for urban driving
Hu, A., Corrado, G., Griffiths, N., Murez, Z., Gurau, C., Yeo, H., Kendall, A., Cipolla, R., and Shotton, J · 2022
Later among the works it cites.
Towards reasoning in large language models: A survey
Huang, J. and Chang, K. C.-C · 2022
Later among the works it cites.
Large language models are zero-shot reasoners
Kojima, T., Gu, S. S., Reid, M., Matsuo, Y., and Iwasawa, Y · 2022
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Reward design with language models
Kwon, M., Xie, S. M., Bullard, K., and Sadigh, D · 2022
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Biased or limited: Modeling sub-rational human investors in financial markets
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Effects of robot motion on human-robot collaboration
Dragan, A. D., Bauman, S., Forlizzi, J., and Srinivasa, S. S · 2015
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Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour
Frederiks, E. R., Stenner, K., and Hobman, E. V · 2015
Cited alongside, same era.
Generative adversarial imitation learning
Ho, J. and Ermon, S · 2016
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Imitation learning: A survey of learning methods
Hussein, A., Gaber, M. M., Elyan, E., and Jayne, C · 2017
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Trades, quotes and prices: financial markets under the microscope
Bouchaud, J.-P., Bonart, J., Donier, J., and Gould, M · 2018
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Ha, D. and Schmidhuber, J · 2018
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Liu, P., Dwarakanath, K., and Vyetrenko, S. S · 2022
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Deep learning, reinforcement learning, and world models
Matsuo, Y., LeCun, Y., Sahani, M., Precup, D., Silver, D., Sugiyama, M., Uchibe, E., and Morimoto, J · 2022
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Social simulacra: Creating populated prototypes for social computing systems
Park, J. S., Popowski, L., Cai, C., Morris, M. R., Liang, P., and Bernstein, M. S · 2022
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Large pre-trained language models contain human-like biases of what is right and wrong to do
Schramowski, P., Turan, C., Andersen, N., Rothkopf, C. A., and Kersting, K · 2022
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Using large language models to simulate multiple humans and replicate human subject studies
Aher, G. V., Arriaga, R. I., and Kalai, A. T · 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
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Sparks of artificial general intelligence: Early experiments with gpt-4
Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., et al · 2023
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Can large language models be an alternative to human evaluations?
Chiang, C.-H. and Lee, H.-y · 2023
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K-SHAP: Policy clustering algorithm for anonymous multi-agent state-action pairs
Coletta, A., Vyetrenko, S., and Balch, T · 2023
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A survey of demonstration learning
Correia, A. and Alexandre, L. A · 2023
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Analyzing the impact of tax credits on households in simulated economic systems with learning agents
Dong, J., Dwarakanath, K., and Vyetrenko, S · 2023
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S 3 : Social-network simulation system with large language model-empowered agents
Gao, C., Lan, X., Lu, Z., Mao, J., Piao, J., Wang, H., Jin, D., and Li, Y · 2023
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How close is chatgpt to human experts? comparison corpus, evaluation, and detection
Guo, B., Zhang, X., Wang, Z., Jiang, M., Nie, J., Ding, Y., Yue, J., and Wu, Y · 2023
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Large language models as simulated economic agents: What can we learn from homo silicus?
Horton, J. J · 2023
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Language models and cognitive automation for economic research
Korinek, A · 2023
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Introducing chatgpt, 2023b
OpenAI · 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
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Large language models and the reverse turing test
Sejnowski, T. J · 2023
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Numeric magnitude comparison effects in large language models
Shah, R. S., Marupudi, V., Koenen, R., Bhardwaj, K., and Varma, S · 2023
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Epidemic modeling with generative agents
Williams, R., Hosseinichimeh, N., Majumdar, A., and Ghaffarzadegan, N · 2023
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Can large language models transform computational social science?
Ziems, C., Held, W., Shaikh, O., Chen, J., Zhang, Z., and Yang, D · 2023
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