摘要翻译：
许多社会经济系统的动态性是由主体的决策过程决定的。决策过程依赖于Agent的特征，如偏好、风险厌恶、行为偏差等。此外，在某些系统中，代理的大小可能高度异构，导致代理对系统动力学的影响非常不同。一些代理的庞大规模给想要控制它们的影响的代理带来了挑战性的问题，这些代理要么强迫系统向给定的方向发展，要么隐藏它们的意向性。本文将金融市场作为一个模型系统，实证研究了代理人如何策略性地调整大额订单的性质，以满足其偏好并使其影响最小。我们通过检测表征不同机构交易活动的变量之间异速性质的标度关系来量化这种策略行为。我们观察了在投资时间范围内，在执行一个大订单所需的交易数量和大型机构交换的交易价值中的幂律分布，我们表明代理人的异质性是出现表征这个复杂系统的一些集合性质的关键因素。
---
英文标题：
《Scaling laws of strategic behaviour and size heterogeneity in agent
  dynamics》
---
作者：
Gabriella Vaglica, Fabrizio Lillo, Esteban Moro, Rosario N. Mantegna
---
最新提交年份：
2007
---
分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：Statistical Finance        统计金融
分类描述：Statistical, econometric and econophysics analyses with applications to financial markets and economic data
统计、计量经济学和经济物理学分析及其在金融市场和经济数据中的应用
--
一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
--

---
英文摘要：
  The dynamics of many socioeconomic systems is determined by the decision making process of agents. The decision process depends on agent's characteristics, such as preferences, risk aversion, behavioral biases, etc.. In addition, in some systems the size of agents can be highly heterogeneous leading to very different impacts of agents on the system dynamics. The large size of some agents poses challenging problems to agents who want to control their impact, either by forcing the system in a given direction or by hiding their intentionality. Here we consider the financial market as a model system, and we study empirically how agents strategically adjust the properties of large orders in order to meet their preference and minimize their impact. We quantify this strategic behavior by detecting scaling relations of allometric nature between the variables characterizing the trading activity of different institutions. We observe power law distributions in the investment time horizon, in the number of transactions needed to execute a large order and in the traded value exchanged by large institutions and we show that heterogeneity of agents is a key ingredient for the emergence of some aggregate properties characterizing this complex system.
---
PDF链接：
https://arxiv.org/pdf/0704.2003