Multi-Group Dynamics with Tolerant Switching in the Kolkata Paise Restaurant Problem with Dining Clubs
Akshat Harlalka, Christopher Griffin

TL;DR
This paper investigates the dynamics of multiple groups in the Kolkata Paise Restaurant Problem, focusing on how tolerance levels influence group dominance, with insights from mean-field and finite population models, including effects of taxation and freeloading.
Contribution
It introduces a model of group switching with tolerance thresholds in the KPRP and compares mean-field and finite population dynamics, providing mathematical approximations and empirical analysis.
Findings
Higher tolerance increases group dominance tendency.
Mean-field dynamics differ from finite population results.
Redistribution influences group dominance and switching behavior.
Abstract
We study the Kolkata Paise Restaurant Problem (KPRP) with multiple dining clubs, extending work in [A. Harlalka, A. Belmonte and C. Griffin, \textit{Physica A}, 620:128767, 2023]. In classical KPRP, agents chose among restaurants at random. If multiple users choose the same restaurant, only one will eat. In a dining club, agents coordinate to avoid choosing the same restaurant, but may collide with users outside the club. We consider a dynamic in which agents switch among clubs or the unaffiliated (free agent) group based on their comparative probability of eating. Agents' affiliations are sticky in the sense that they are insensitive (tolerate) to differences in eating probability below a threshold without switching groups. We study the tendency of one group (dining club or free agent group) to become dominant as a function of tolerance by studying the mean-field…
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