Bayesian Decision Dynamics in Social Systems: The Influence of External Principals on Herd Behavior


Lu Li, Huangxing Li*

Microsoft, One Microsoft Way, Redmond, WA, USA.

*Corresponding author: Huangxing Li

Published: January 17,2024


In this study, we investigated the dynamics of decision-making in social systems, with a focus on the concept of 'herd behavior,' where individuals tend to follow the choices made by their predecessors without fully understanding the rationale behind those choices. By introducing principals or external guides into the decision-making process, we add a layer of complexity and examine how the reliability of these guides can impact decisions. We find that even occasional reliance on an unreliable principle can significantly alter decision outcomes. Moreover, an increase in trust in a principal whose advice is random can lead to more decision errors. Our findings underscore the critical need for exercising caution when trusting external guides in decision-making contexts. Additionally, our research suggests that fostering a better understanding of the factors influencing decision-making in social systems can lead to more informed and effective strategies in various domains, ultimately contributing to improved decision-making processes and outcomes.


[1] J. Song & E. Walden. Consumer Behavior in the Adoption of Peer-to-Peer Technologies: An Empirical Examination of Information Cascades and Network Externalities (2003).

[2] L. Li, Z. He, X. Zhou, & D. Yu. How to Evaluate the Next System: Au-Tomatic Dialogue Evaluation from the Perspective of Continual Learning (2019). arXiv:1912.04664.

[3] E. Walden & G. Browne. Rational Fads in Investor Reactions to Electronic Commerce Announcements: An Explanation of the Internet Bubble, Electron. Commer. Res. Appl. 7 (2008): 44-54.

[4] B. C¸ Elen & K. Shachar. Observational Learning Under Imperfect Information, Games Econ. Behav. 47 (2004): 72-86.

[5] J. Gu, L. Li, Z. Xu, & H. Fujita. Construction of A Technology Adoption Decision-Making Model and Its Extension to Understanding Herd Behavior. Knowledge-Based Systems 89 (2015): 471-486. doi:


[6] E. Kamenica & M. Gentzkow. Bayesian Persuasion. American Economic Review, 101 (6) (2011): 2590-2615.

[7] Z. Rabinovich, et al. Information Disclosure as A Means to Security, (2015): 645-653. Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), Bordini, Elkind, Weiss, Yolum (eds.), May 4-8, 2015, Istanbul, Turkey.

[8] H. Xu, et al. Exploring Information Asymmetry in Two-Stage Security Games, Manage. Inform. Syst. Quart. 33 (2015) 23-48.

[9] I. Goldstein & Y. Leitner. Stress tests and information disclosure. Journal of Economic Theory, 177 (2018): 34-69.

[10] J. Ely. Beeps: Online Appendix. American Economic Review, 107 (1) (2017): 31-53.

[11] J. Renault, E. Solan, & N. Vieille. Optimal Dynamic Information Provision. Games and Economic Behavior, 104 (2017): 329-349.

[12] A. Celli, et al. Private Bayesian Persuasion with Sequential Games. In: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34, 2020, pp. 1886-1893.

[13] M. Castiglioni, et al. Online Bayesian Persuasion. Advances in Neural Information Processing Systems, 33 (2020): 16188-16198.

[14] M. Castiglioni, et al. Multi-receiver Online Bayesian Persuasion. In: Proceedings of 38th International Conference on Machine Learning, 2021, pp. 1314-1323.

[15] V. Conitzer, & T. Sandholm. Complexity of Mechanism Design. In: Proceedings of the 18th Conference in Uncertainty in Artificial Intelligence, 2002, pp. 103-110.

[16] V. Conitzer & T. Sandholm. Self-interested Automated Mechanism Design and Implications for Optimal Combinatorial Auctions. In: Proceedings of the 5th ACM Conference on Electronic Commerce, 2004, pp. 132-141.

[17] H. Zhang & V. Conitzer. Automated Dynamic Mechanism Design. Advances in Neural Information Processing Systems, 34 (2021).

[18] E. Walden & G. Browne. Sequential Adoption Theory: A Theory for Understanding Herding Behavior in Early Adoption of Novel Technologies. J. AIS, 10 (01 2009). doi:10.17705/1jais.00181.

How to cite this paper

Bayesian Decision Dynamics in Social Systems: The Influence of External Principals on Herd Behavior

How to cite this paper: Lu Li, Huangxing Li. (2023) Bayesian Decision Dynamics in Social Systems: The Influence of External Principals on Herd Behavior. Advances in Computer and Communication4(6), 345-350.