Referências

AHEARNE, M.; ATEFI, Y.; LAM, S. K.; POURMASOUDI, M. The future of buyer–seller interactions: A conceptual framework and research agenda. Journal of the Academy of Marketing Science, [s. l.], vol. 50, no. 1, p. 22–45, 2022. https://doi.org/10.1007/s11747-021-00803-0.
AXTELL, R. L.; FARMER, J. D. Agent-based modeling in economics and finance: Past, present, and future. Journal of Economic Literature, [s. l.], 2022.
BOUNCKEN, R. B.; FREDRICH, V.; KRAUS, S.; RITALA, P. Innovation alliances: Balancing value creation dynamics, competitive intensity and market overlap. Journal of Business Research, [s. l.], vol. 112, p. 240–247, 2020. https://doi.org/https://doi.org/10.1016/j.jbusres.2019.10.004.
CAMERER, C.; HO, T.-H. Experience-weighted attraction learning in coordination games: Probability rules, heterogeneity, and time-variation. Journal of Mathematical Psychology, [s. l.], vol. 42, no. 2, p. 305–326, 1998. https://doi.org/https://doi.org/10.1006/jmps.1998.1217.
CESCHI, A.; RUBALTELLI, E.; SARTORI, R. Designing a homo psychologicus more psychologicus: Empirical results on value perception in support to a new theoretical organizational-economic agent based model. 2014. Distributed computing and artificial intelligence, 11th international conference [...]. Cham: Springer International Publishing, 2014. p. 71–78. https://doi.org/10.1007/978-3-319-07593-8_9.
CHAKRABORTI, A.; TOKE, I. M.; PATRIARCA, M.; ABERGEL, F. Econophysics review: II. Agent-based models. Quantitative Finance, [s. l.], vol. 11, no. 7, p. 1013–1041, 2011. https://doi.org/10.1080/14697688.2010.539249.
CHEN, S.-H.; DU, Y.-R. Heterogeneity in generalized reinforcement learning and its relation to cognitive ability. Cognitive Systems Research, [s. l.], vol. 42, p. 1–22, 2017. https://doi.org/https://doi.org/10.1016/j.cogsys.2016.11.001.
CYERT, R.; MARCH, J. Behavioral theory of the firm. Organizational behavior 2. [S. l.]: Routledge, 2015. p. 60–77.
DONG, J. Q.; KARHADE, P. P.; RAI, A.; XU, S. X. How firms make information technology investment decisions: Toward a behavioral agency theory. Journal of Management Information Systems, [s. l.], vol. 38, no. 1, p. 29–58, 2021.
FARMER, J. D.; FOLEY, D. The economy needs agent-based modelling. Nature, [s. l.], vol. 460, no. 7256, p. 685–686, 2009.
FIANI, R. Teoria dos jogos. p. 388. [S. l.]: Elsevier Editora, 2006.
GAVETTI, G.; GREVE, H. R.; LEVINTHAL, D. A.; OCASIO, W. The behavioral theory of the firm: Assessment and prospects. Academy of Management Annals, [s. l.], vol. 6, no. 1, p. 1–40, 2012.
ISAAC, A. G. Simulating evolutionary games: A python-based introduction. Journal of Artificial Societies and Social Simulation, [s. l.], vol. 11, no. 3, p. 8, 2008.
KIMBROUGH, S. O.; MURPHY, F. H. Strategic bidding of offer curves: An agent-based approach to exploring supply curve equilibria. European Journal of Operational Research, [s. l.], vol. 229, no. 1, p. 165–178, 2013. https://doi.org/https://doi.org/10.1016/j.ejor.2013.02.006.
KLEIN, P. G.; LIEN, L. B. Diversification, industry structure, and firm strategy: An organizational economics perspective. In: NICKERSON, J. A.; SILVERMAN, B. S. (eds.). Economic institutions of strategy. Advances in strategic management. [S. l.]: Emerald Group Publishing Limited, 2009. vol. 26, p. 289–312. https://doi.org/10.1108/S0742-3322(2009)0000026013.
KORHONEN, P. J.; WALLENIUS, J.; GENC, T.; XU, P. On rational behavior in multi-attribute riskless choice. European Journal of Operational Research, [s. l.], vol. 288, no. 1, p. 331–342, 2021.
KÖSTER, C.; SCHENK-MATHES, H.; SPECHT, C. Explanatory power of behavioral models in the newsvendor problem: A simulation study. Central European Journal of Operations Research, [s. l.], vol. 27, no. 2, p. 311–324, 2019. https://doi.org/10.1007/s10100-018-0589-9.
PETRACCA, E. On the origins and consequences of simon’s modular approach to bounded rationality in economics. The European Journal of the History of Economic Thought, [s. l.], vol. 28, no. 5, p. 708–732, 2021. https://doi.org/10.1080/09672567.2021.1877760.
ROSENBERG, N. Exploring the black box: Technology, economics, and history. [S. l.]: Cambridge University Press, 1994.
SIMON, H. A. Bounded rationality and organizational learning. Organization Science, [s. l.], vol. 2, no. 1, p. 125–134, 1991. https://doi.org/10.1287/orsc.2.1.125.