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第20行：
第20行： − + − 这个“近乎典型的例子”是由圣菲研究所在1989年创建的一个人为的股票市场模型。该模型显示了两种不同的结果，一种是”行为主体不太寻找预测因子，而且在同一种理性预期结果上趋于一致” ，另一种是”各种技术性交易战略的出现和剩余以及泡沫和崩溃时期的出现”。+ 第32行：
第32行： − 另一个领域研究了囚徒困境，例如在一个网络中，代理人在他们最近的邻居之间玩耍，或者在一个网络中，代理人可以不时地犯错误并且“演化策略”。在这些模型中，结果显示了一个“不断变化的策略分布模式”的系统。+ − − 第42行：
第40行： − 更一般地说，复杂性经济学模型经常被用来研究一个系统的宏观层面上非直观的结果如何能从微观层面上的简单相互作用中产生。这就避免了代表性代理方法的假设，该方法将集体系统的结果归结为个体理性行为的简单和。+ − − − −
→模型 Models
The "nearly archetypal example" is an artificial [[stock market]] model created by the [[Santa Fe Institute]] in 1989.<ref name=Rosser1999/> The model shows two different outcomes, one where "agents do not search much for [[Dependent and independent variables|predictors]] and there is convergence on a homogeneous rational expectations outcome" and another where "all kinds of technical trading strategies appearing and remaining and periods of [[economic bubble|bubbles]] and crashes occurring".<ref name=Rosser1999/>
The "nearly archetypal example" is an artificial [[stock market]] model created by the [[Santa Fe Institute]] in 1989.<ref name=Rosser1999/> The model shows two different outcomes, one where "agents do not search much for [[Dependent and independent variables|predictors]] and there is convergence on a homogeneous rational expectations outcome" and another where "all kinds of technical trading strategies appearing and remaining and periods of [[economic bubble|bubbles]] and crashes occurring".<ref name=Rosser1999/>
The "nearly archetypal example" is an artificial stock market model created by the Santa Fe Institute in 1989. The model shows two different outcomes, one where "agents do not search much for predictors and there is convergence on a homogeneous rational expectations outcome" and another where "all kinds of technical trading strategies appearing and remaining and periods of bubbles and crashes occurring".
The "nearly archetypal example" is an artificial stock market model created by the Santa Fe Institute in 1989. The model shows two different outcomes, one where '''<font color="#32CD32">"agents do not search much for predictors and there is convergence on a homogeneous rational expectations outcome"</font>''' and another where "all kinds of technical trading strategies appearing and remaining and periods of bubbles and crashes occurring".
这个“近乎典型的例子”是由圣菲研究所在1989年创建的一个人为的股票市场模型。该模型显示了两种不同的结果，一种是'''<font color="#32CD32">”行为主体不太寻找预测因子，而且在同一种理性预期结果上趋于一致”</font>'''，另一种是”各种技术性交易战略的出现和存在，以及泡沫和崩溃时期的出现”。
Another area has studied the prisoner's dilemma, such as in a network where agents play amongst their nearest neighbors or a network where the agents can make mistakes from time to time and "evolve strategies". In these models, the results show a system which displays "a pattern of constantly changing distributions of the strategies".
Another area has studied the prisoner's dilemma, such as in a network where agents play amongst their nearest neighbors or a network where the agents can make mistakes from time to time and "evolve strategies". In these models, the results show a system which displays "a pattern of constantly changing distributions of the strategies".
另一个领域研究了'''<font color="#ff8000">囚徒困境 Prisoner's Dilemma</font>'''问题，例如在一个网络中，主体在其最近邻居之间不断活动，或者主体可以不时地犯错并形成“演化策略”。在这些模型中，结果均显示了一个“策略分布模式不断变化”的系统。
More generally, complexity economics models are often used to study how non-intuitive results at the macro-level of a system can emerge from simple interactions at the micro level. This avoids assumptions of the representative agent method, which attributes outcomes in collective systems as the simple sum of the rational actions of the individuals.
More generally, complexity economics models are often used to study how non-intuitive results at the macro-level of a system can emerge from simple interactions at the micro level. This avoids assumptions of the representative agent method, which attributes outcomes in collective systems as the simple sum of the rational actions of the individuals.
更一般地说，复杂经济学模型经常被用来研究系统宏观层面的非直观结果是如何从微观层面的简单相互作用中产生。该方法将集体系统的结果归结为个体理性行为的简单和，避免了代表性主体方法的假设。
== 方法 Measures ==
== 方法 Measures ==