In “LLM Agent-Based Modeling for Zakat Policy: Simulation in Islamic Finance” (Muslims in Machine Learning Workshop), Zaur Omarov (Lomonosov Moscow State University) and others introduce “a novel approach to simulating Zakat policy by leveraging Large Language Model (LLM) enhanced Agent-Based Modeling (ABM)…and propose a multi-agent system where LLM-powered agents represent diverse economic actors within an Islamic finance ecosystem, including Zakat payers, beneficiaries, and regulatory bodies. These agents, endowed with nuanced profiles and decision-making capabilities, interact within a simulated environment governed by Sharia principles.”
