artificial stocking meaning in Chinese
人为母群
引进母群
Examples
- Since the initial works about artificial stock market are proposed by holland and arthur in santa fe in 1987 , and the first stock market structured by palmer in 1994 , more and more scholars have begun to study on the artificial stock market from different point of view
自从1987年holland和arthur在圣塔菲研究所开创了人工股票市场研究领域和1994年palmer建立了第一个人工股票市场以来，众多的学者从不同的角度开始从事人工股票市场的研究。 - In this case , the artificial stock market methods are introduced in this thesis to study the microstructure of stock market in order to find some interesting results . firstly , the artificial stock market methods make the study about stock market no more dependent on the rational expectation
首先，利用人工市场对股票市场的微观结构的研究，拓宽了研究的内容，使得研究工作的进行不再依赖于理性预期的假说，也可以研究市场的非理性表现。 - Based on the santa fe artificial stock market , the simulated experiments of different markets include market clear mechanism , price limited mechanism , and dividend mechanism markets are implement . and the bubble and frangibility of stock market are also studied by this method . the satisfactory results are gotten
在圣塔菲人工市场的基础上，我们分别对价格出清机制、涨跌停限制制度、股利制度，泡沫成因和股票市场的脆弱性进行了实验研究，并取得了较为满意的结果。 - The first part of this thesis expounds the complex system and the complexity of financial market ; the second part generalizes the theory of multi - agent system modeling and landmark research work of multi - agent - based modeling in financial field ; the third part researches particularly that how to use multi - agent - based modeling theory and method to describe and solve the complex questions in artificial stock market . the simulation and analysis for financial market complex system show that the price s fluctuation of financial market is not a derivative thing . it is because of the inside motive that investors change their investment strategies
论文第一部分阐述了复杂系统及金融市场的复杂性；第二部分概述了多代理人系统建模理论以及多代理人模型在金融研究领域中有里程碑意义的研究工作；第三部分则重点研究了如何应用多代理人仿真技术来描述和求解人工金融市场复杂性问题，金融市场复杂系统演化的模拟和分析，显示了金融市场的价格波动并非外生事件，而是在投资者不断改进的投资策略的内在驱动下形成的，投资者的预期和投资策略的改变的快慢是市场复杂性的主要决定性因素，论文第四部分则探讨了基于多代理人的仿真建模在金融研究领域应用的未来发展趋势。