标题： 随机结构储备计算机在金融和经济系统识别中的应用 显示英文标题

标题： Stochastically Structured Reservoir Computers for Financial and Economic System Identification

摘要： 本文介绍了一种使用随机结构化储层计算机（SSRCs）来识别和模拟金融和经济系统的的方法。 所提出的框架利用保持结构的嵌入和图启发的耦合矩阵，以增强可解释性的方式对代理间动态进行建模。 一种约束优化方案确保学习到的模型满足随机和结构约束。 两个实证案例研究，一个是对代理之间资源竞争的动态行为模型，另一个是区域通胀网络动态，展示了该方法在捕捉和预测复杂非线性模式以及在不确定性下实现可解释的预测分析方面的有效性。 显示英文摘要

摘要： This paper introduces a methodology for identifying and simulating financial and economic systems using stochastically structured reservoir computers (SSRCs). The proposed framework leverages structure-preserving embeddings and graph-informed coupling matrices to model inter-agent dynamics with enhanced interpretability. A constrained optimization scheme ensures that the learned models satisfy both stochastic and structural constraints. Two empirical case studies, a dynamic behavioral model of resource competition among agents, and regional inflation network dynamics, illustrate the effectiveness of the approach in capturing and anticipating complex nonlinear patterns and enabling interpretable predictive analysis under uncertainty.