دانلود مقاله ISI انگلیسی شماره 44343
عنوان فارسی مقاله

مدلسازی و آنالیز اکتشافی، یک روش برای پیش بینی مبتنی بر مدل تحت عدم قطعیت عمیق

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
44343 2013 13 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Exploratory Modeling and Analysis, an approach for model-based foresight under deep uncertainty
منبع

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

Journal : Technological Forecasting and Social Change, Volume 80, Issue 3, March 2013, Pages 419–431

کلمات کلیدی
تجزیه و تحلیل تکنولوژی آینده گرا - مدل سازی و تجزیه و تحلیل اکتشافی - عدم قطعیت عمیق - دینامیک سیستم - سیاست تطبیقی - مدل مبتنی بر عامل
پیش نمایش مقاله
پیش نمایش مقاله مدلسازی و آنالیز اکتشافی، یک روش برای پیش بینی مبتنی بر مدل تحت عدم قطعیت عمیق

چکیده انگلیسی

Exploratory Modeling and Analysis (EMA) is an approach that uses computational experiments to analyze complex and uncertain issues. It has been developed mainly for model-based decision support. This paper investigates the extent to which EMA is a promising approach for future oriented technology analysis (FTA). We report on three applications of EMA, using different modeling approaches, in three different technical domains. In the first case, EMA is combined with System Dynamics (SD) to study plausible dynamics for mineral and metal scarcity. The main purpose of this combination of EMA and SD is to gain insight into what kinds of surprising dynamics can occur given a variety of uncertainties and a basic understanding of the system. In the second case, EMA is combined with a hybrid model for airport performance calculations to develop an adaptive strategic plan. This case shows how one can iteratively improve a strategic plan through the identification of plausible external conditions that would cause the plan to perform poorly. In the final case, EMA is combined with an agent-based model to study transition dynamics in the electricity sector and identify crucial factors that positively and negatively affect a transition towards more sustainable functioning of the electricity sector. This paper concludes that EMA is useful for generating foresights and studying systemic and structural transformations despite the presence of a plethora of uncertainties, and for designing robust policies and plans, which are key activities of FTA.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.