Entropy-driven decision-making dynamics sheds light on the emergence of the "paradox of choice"
Manish Gupta, Arnab Barua, Haralampos Hatzikirou

TL;DR
This paper uses an entropy-based statistical physics model to explain how the 'paradox of choice' emerges in decision-making groups, highlighting the role of information transfer, sensing bias, and past influences in collective decision dynamics.
Contribution
It introduces a novel entropy-driven framework to analyze the collective 'paradox of choice' and identifies key parameters affecting decision synchronization and outcomes.
Findings
Optimal sensing radius minimizes decision synchronization time.
Bias in environmental sensing prevents the paradox of choice.
Past decision influence alters collective decision dynamics.
Abstract
Decision making is the cognitive process of selecting a course of action among multiple alternatives. As the decision maker belongs to a complex microenvironment (which contains multiple decision makers), has to make a decision where multiple options are present which often leads to a phenomenon known as the "paradox of choices". The latter refers to the case where too many options can lead to negative outcomes, such as increased uncertainty, decision paralysis, and frustration. Here, we employ an entropy driven mechanism within a statistical physics framework to explain the premises of the paradox. In turn, we focus on the emergence of a collective "paradox of choice", in the case of interacting decision-making agents, quantified as the decision synchronization time. Our findings reveal a trade-off between synchronization time and the sensing radius, indicating the optimal conditions…
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Taxonomy
TopicsComplex Systems and Decision Making
