منوی کاربری
  • پشتیبانی: ۴۲۲۷۳۷۸۱ - ۰۴۱
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دانلود رایگان مقاله رویکرد شبکه عصبی مصنوعی برای داده کاوی متمرکز

عنوان فارسی
چه نوع نظم جهانی؟ رویکرد شبکه عصبی مصنوعی برای داده کاوی متمرکز
عنوان انگلیسی
What kind of ‘world order’? An artificial neural networks approach to intensive data mining
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
11
سال انتشار
2017
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E4582
رشته های مرتبط با این مقاله
مهندسی کامپیوتر و مهندسی صنایع
گرایش های مرتبط با این مقاله
داده کاوی و مهندسی نرم افزار
مجله
پیش بینی فنی و تغییر اجتماعی - Technological Forecasting & Social Change
دانشگاه
رم، ایتالیا
کلمات کلیدی
نظم جهانی، اتحاد جهانی، مناقشات، جامعه باز، شبکه عصبی مصنوعی (ANNs)، سیستم فعال سازی و رقابت (ACS)
۰.۰ (بدون امتیاز)
امتیاز دهید
چکیده

abstract


In this paper, we present an innovative data processing architecture, the Activation & Competition System (ACS), and show how this methodology allows us to reconstruct in detail some aspects of the fine grained structure of global relationships in the world order perspective, on the basis of a minimal dataset only consisting of the values of five publicly available indicators for 2007 for the 118 countries for which they are jointly available. ACS seems in particular to qualify as a valuable tool for the analysis of inter-country patterns of conflict and alliances, which may prove of special interest in the current situation of global strategic uncertainty in international relations.

نتیجه گیری

6. Conclusion


In this paper, we have introduced a new computational tool, ACS, as the basis of an innovative approach to global analysis of the world order based on intensive data mining on a small set of indicators, which taken together stand as a proxy of open society orientation, and thus, indirectly, of market democracy. Rather than developing a simple theoretical hypothesis to be put to test through data, we have pursued a focused data interrogation in the spirit of Beck et al. (2000) about relative (adjusted) multi-dimensional similarities across a field of country attributes (Rummel, 1971), to organize empirical information in new, unexpected ways that can be conducive to new evidence-driven theoretical hypotheses with challenging implications (Bezold, 2010).We believe that our results can be fruitfully employed to this purpose in future research and in policy design in a context of potentially disruptive transformation (Cagnin et al., 2013) and of elusive, multi-layered dynamics of international relations (Lee, 2015). Our original data-processing architecture has allowed us to draw rather articulate inferences on some aspects of the fine-grained structure of the world order as of 2007, starting from an informational base with little or no content concerning political and diplomatic aspects of the international relations between countries. This suggests that the dimensions spanned by open society orientation (transparency, freedom of press, economic competitiveness, human development and economic freedom), in their multifaceted aspects, are a reliable predictor of some key aspects of the structure of the world order. This implication contradicts visions of the world order that are built upon narratives of contrast of absolute cultural and value orientations such as Hutchinson's clash of civilizations, and provide support to a Democratic Peace Theory approach, showing in particular how not only democratic countries tend to form stable alliances, but also that they develop a very rich and nuanced spectrum of international relationships, against the clear-cut dichotomic positions of more authoritarian countries.


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