دوشنبه 10 اردیبهشت 1403
| عنوان مقاله | |
| عنوان مقاله |
Survey of evolutionary computation methods in social agent-based modeling studies |
| عنوان فارسی مقاله | بررسی روش های محاسباتی تکاملی در جامعه مطالعات مدل سازی مبتنی بر عامل |
| مشخصات مقاله انگلیسی | |
| نشریه: Springer |
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| سال انتشار |
2018 |
| عنوان مجله |
Journal of Computational Social Science |
| تعداد صفحات مقاله انگلیسی | 32 |
| رفرنس | دارد |
| تعداد رفرنس | 76 |
| چکیده مقاله | |
| چکیده |
Agent-based modeling is a well-established discipline today with a rich and vibrant research community. The field of evolutionary computation (EC) is also well recognized within the larger family of computational sciences. In the past decades many agent-based modeling studies of social systems have used EC methods to tackle various research questions. Despite the relative frequency of such efforts, no systematic review of the use of evolutionary computation in agent-based modeling has been put forth. Here, we review a number of prominent agent-based models of social systems that employ evolutionary algorithms as a method. We comment on some theoretical considerations, the state of current practice, and suggest some best practices for future work. |
| کلمات کلیدی |
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| دانلود | |
