交易员通过自适应地更新自己的头像来给自己打上烙印
Traders imprint themselves by adaptively updating their own avatar
摘要：
人工股票市场的模拟早在1964年就被考虑过，而多代理人的模拟早在1989年就被引入。从90年代初开始，经济学家和物理学家的合作产生了越来越逼真的仿真平台。目前，市场程式化的事实很容易复制，现在必须解决市场微观结构和交易者行为的现实细节。这就需要新的方法和工具，能够在经济学的模拟和实验之间顺利衔接。我们在这里提出以下基于化身的方法（ABM）。受试者在市场模拟平台NatLab上实现和维护他们的化身（编码个人决策过程的程序）。一旦这些程序以计算机可食用的形式提供，它们就可以在操作上使用，而不需要对它们进行过多的解释或概念化。因此，ABM缩短了通常的行为经济学实验，寻找主体行为背后的心理机制。最后，ABM保持了接近经典行为主义的客观性水平，同时将其范围扩展到主体的决策机制。我们报告的实验中，由来自不同背景的人（包括真正的交易者）设计和维护的化身在一个连续的双重拍卖市场竞争。我们希望这种捕捉真实主体行为的适应性进化的无偏见方式可能会导致一种具有高度可靠性，可分析性和可重复性的新型行为经济学实验。
英文摘要：
Simulations of artificial stock markets were considered as early as 1964 and multi-agent ones were introduced as early as 1989. Starting the early 90's, collaborations of economists and physicists produced increasingly realistic simulation platforms. Currently, the market stylized facts are easily reproduced and one has now to address the realistic details of the Market Microstructure and of the Traders Behaviour. This calls for new methods and tools capable of bridging smoothly between simulations and experiments in economics. We propose here the following Avatar-Based Method (ABM). The subjects implement and maintain their Avatars (programs encoding their personal decision making procedures) on NatLab, a market simulation platform. Once these procedures are fed in a computer edible format, they can be operationally used as such without the need for belabouring, interpreting or conceptualising them. Thus ABM short-circuits the usual behavioural economics experiments that search for the psychological mechanisms underlying the subjects behaviour. Finally, ABM maintains a level of objectivity close to the classical behaviourism while extending its scope to subjects' decision making mechanisms. We report on experiments where Avatars designed and maintained by humans from different backgrounds (including real traders) compete in a continuous double-auction market. We hope this unbiased way of capturing the adaptive evolution of real subjects behaviour may lead to a new kind of behavioural economics experiments with a high degree of reliability, analysability and reproducibility.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
