Analysis of the Evolutionary Game Theory in Agent-Based Computational Systems: OPEC Oil-Producing Countries

Author(s):
Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

This study suggests a new method for analysing the behavioral economics issues in the framework of game theory. In this context, bounded rational agents interact with one another in a strategic manner. Therefore, conventional economic modeling techniques are unable to explaine this kind of interactions. In this regard, evolutionary game theory and agent-based modeling are known as the most suitable tools for studying the dynamic environments of strategic interactions of OPEC members in the period of 2015 to 2040. The results of implementation of 4 agent-based behavioral models suggest that despite the split between members (countries impatient and patient), impatient members enjoy of vast oil reserves. But during the evolutionary process, members gradually learn the type of policy against rival groups. So, there is the possibility to benefit more impatient members of OPEC during the game in having more market share against rival groups and expel them from a position of market dominance over OPEC.

Language:
Persian
Published:
Quarterly Energy Economics Review, Volume:16 Issue: 64, 2020
Pages:
183 to 216
magiran.com/p2133516  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!