An Evolutionary Approach to the Study of Interstate

نویسنده

  • Paul R. Hensel
چکیده

Recent research on interstate conflict and rivalry has shown that most conflict occurs between long-time rival countries, and has used enduring rivalries to test propositions on arms races, deterrence, and power transitions. Yet most of this research has focused on the dynamics of already-established rivalry; little is known about how adversaries become long-term rivals. The present effort attempts to account for the origins of rivalry with an evolutionary model of interstate rivalry that treats rivalry as a dynamic process, evolving out of interactions between two adversaries. Empirical analyses reveal that the context of recent relations between two adversaries has a great influence on their conflict behavior, particularly on their probability of engaging in further conflict along the path toward or away from enduring rivalry. As two adversaries accumulate a longer history of conflict, their rivalry relationship tends to become "locked in" or entrenched, with future conflict becoming increasingly difficult to avoid; specific characteristics of their past confrontations can hasten or reverse this movement toward rivalry. This paper concludes by discussing the implications of this evolutionary model for the understanding of rivalry, conflict, and world politics more generally.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A JOINT DUTY CYCLE SCHEDULING AND ENERGY AWARE ROUTING APPROACH BASED ON EVOLUTIONARY GAME FOR WIRELESS SENSOR NETWORKS

Network throughput and energy conservation are two conflicting important performance metrics for wireless sensor networks. Since these two objectives are in conflict with each other, it is difficult to achieve them simultaneously. In this paper, a joint duty cycle scheduling and energy aware routing approach is proposed based on evolutionary game theory which is called DREG. Making a trade-off ...

متن کامل

ارزیابی رویکردهای اقتصاد تطوری و ریشه های فکری آنها

Casting a chronological glance at the trend of studies in the evolutionary economics area suffices to come to the point that the approach enjoys a long historical background. It is to say that the studies conducted in this area consist of miscellaneous thoughts ranging from insight of early Marxists to Austrian neo-liberalists. Nevertheless, a landmark study that paved the way for the developme...

متن کامل

Political Democracy and Militarized Conflict in Evolving Interstate Rivalries

In this paper I study the relationship between political democracy, interstate rivalry, and militarized interstate conflict. Past research has shown dyadic democracy to have a strong pacifying effect on relations between states; democracies have rarely if ever gone to war against each other. Much of the research in this area has been static and cross-sectional in nature, though, overlooking the...

متن کامل

Predicting ε50 for Lateral Behavior of Piles in Marine Clay Using an Evolutionary Based Approach

Analyzing piles subjected to lateral loads significantly depends on soil resistance at any point along the pile as a function of pile deflection, known as p-y curve. On the other hand, the deformation characteristics of soil defined as “the soil strain at 50% of maximum deviatoric stress (ε50)” has considerable effect on the generated p-y curve. In this research, several models are proposed to ...

متن کامل

A hybridization of evolutionary fuzzy systems and ant Colony optimization for intrusion detection

A hybrid approach for intrusion detection in computer networks is presented in this paper. The proposed approach combines an evolutionary-based fuzzy system with an Ant Colony Optimization procedure to generate high-quality fuzzy-classification rules. We applied our hybrid learning approach to network security and validated it using the DARPA KDD-Cup99 benchmark data set. The results indicate t...

متن کامل

An Approach to Reducing Overfitting in FCM with Evolutionary Optimization

Fuzzy clustering methods are conveniently employed in constructing a fuzzy model of a system, but they need to tune some parameters. In this research, FCM is chosen for fuzzy clustering. Parameters such as the number of clusters and the value of fuzzifier significantly influence the extent of generalization of the fuzzy model. These two parameters require tuning to reduce the overfitting in the...

متن کامل

ذخیره 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 1999