Deep Cuts - Challenges for U . S . Conventional Extended Deterrence
نویسندگان
چکیده
Deep nuclear cuts will have repercussions for the alignment and credibility of U.S. security commitments in both Europe and the Asia-Pacific. Assuming that deterrence remains the name of the game in international politics, this article explores alternatives to U.S. extended nuclear deterrence. It does so by identifying and examining the issues policymakers would have to deal with in Europe and Asia to enable a sustainable transition from nuclear to conventional extended deterrence. Ultimately it argues that, whilst such a transition might be possible in the long term, designing such a posture for the United States is highly challenging: deep nuclear reductions will not only have to be supplanted by a credible conventional deterrent, but also incorporate sustainable, multilateral conventional arms control regimes.
منابع مشابه
A note on "An interval type-2 fuzzy extension of the TOPSIS method using alpha cuts"
The technique for order of preference by similarity to ideal solution (TOPSIS) is a method based on the ideal solutions in which the most desirable alternative should have the shortest distance from positive ideal solution and the longest distance from negative ideal solution. Depending on type of evaluations or method of ranking, different approaches have been proposing to calculate distances ...
متن کاملDeterrence of Cyber Attacks and U.S. National Security
This paper draws on deterrence theory to analyze the challenges that the United States faces in deterring cyber attacks. We begin by briefly reviewing the basic logic of deterrence theory and relating it to the challenge posed by cyber attacks. The following section explores what is commonly viewed as the key problem in deterring cyber attacks—the “attribution problem” arises when a state canno...
متن کاملSeparation of Water and Fat Magnetic Resonance Imaging Signals Using Deep Learning with Convolutional Neural Networks
Purpose: A new method for magnetic resonance (MR) imaging water-fat separation using a convolutional neural network (ConvNet) and deep learning (DL) is presented. Feasibility of the method with complex and magnitude images is demonstrated with a series of patient studies and accuracy of predicted quantitative values is analyzed. Methods: Water-fat separation of 1200 gradient-echo acquisitions f...
متن کاملConventional Deterrence in the Second Nuclear Age
D eterrence is once again a topic of discussion and debate among US defense and policy communities. Although the concept has received comparatively little attention since the end of the Cold War, it seems poised to take center stage in America's national security policy during the coming decades. With two ongoing wars already straining the military , concerns about a recalcitrant and militarize...
متن کاملA Study on Exponential Fuzzy Numbers Using alpha-Cuts
In this study a new approach to rank exponential fuzzy numbers using -cuts is established. The metric distance of the interval numbers is extended to exponential fuzzy numbers. By using the ranking of exponential fuzzy numbers and using -cuts the critical path of a project network is solved and illustrated by numerical examples. Keywords: Exponential Fuzzy Numbers, -cuts, Metric Dista...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016