دانلود مقاله ISI انگلیسی شماره 42251
ترجمه فارسی عنوان مقاله

عوامل مجازی بسیار باهوش برای مدل سازی بازارهای مالی

عنوان انگلیسی
The highly intelligent virtual agents for modeling financial markets
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
42251 2016 11 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Physica A: Statistical Mechanics and its Applications, Volume 443, 1 February 2016, Pages 98–108

ترجمه کلمات کلیدی
مدل چند عامله - تصمیم سازی - بازارهای سهام - الگوریتم های ژنتیکی
کلمات کلیدی انگلیسی
Multi-agent models; Decision-making; Stock markets; Genetic algorithms; Econophysics
پیش نمایش مقاله
پیش نمایش مقاله  عوامل مجازی بسیار باهوش برای مدل سازی بازارهای مالی

چکیده انگلیسی

Researchers have borrowed many theories from statistical physics, like ensemble, Ising model, etc., to study complex adaptive systems through agent-based modeling. However, one fundamental difference between entities (such as spins) in physics and micro-units in complex adaptive systems is that the latter are usually with high intelligence, such as investors in financial markets. Although highly intelligent virtual agents are essential for agent-based modeling to play a full role in the study of complex adaptive systems, how to create such agents is still an open question. Hence, we propose three principles for designing high artificial intelligence in financial markets and then build a specific class of agents called iAgents based on these three principles. Finally, we evaluate the intelligence of iAgents through virtual index trading in two different stock markets. For comparison, we also include three other types of agents in this contest, namely, random traders, agents from the wealth game (modified on the famous minority game), and agents from an upgraded wealth game. As a result, iAgents perform the best, which gives a well support for the three principles. This work offers a general framework for the further development of agent-based modeling for various kinds of complex adaptive systems.