agent-based-simulation

FINESSE is an agent-based simulation framework and benchmark dataset for generating synthetic multimodal financial event sequences, addressing data scarcity and supporting tasks like fraud detection and balance forecasting.

This paper presents a bounded verification protocol for adaptive agentic controllers using finite symbolic rules, diagnostic predicates, and held-out re-evaluation, demonstrating the method on an inventory-control benchmark.