{"title":"Discerning nuclear proliferation intentions: some lessons from nature","authors":"S. Rao","doi":"10.1504/IJNKM.2009.027062","DOIUrl":null,"url":null,"abstract":"Discerning the nuclear proliferation intentions of nation-states is a challenge faced by strategic policy decision makers worldwide. Typical nuclear proliferation discourses revolve around the intentions and capabilities of nation-states, as also the events and conditions furthering the cause of nuclear proliferation. Various international relations theories try to explain a state's motivations for proliferation. However, policy makers are often confronted with strategic decision-making situations that are complex, nonlinear and evolving. In order to provide them with any meaningful support under such circumstances, a Decision Support System (DSS) model is required that can provide a complex, emergent insight into the proliferation intentions of nation-states. This paper presents such a computationally intelligent model (Discerning Nuclear Intentions or DiNI) based on the sociobiological phenomenon of altruism. A hypothetical case study is used to demonstrate the model. The results show the potential of this model as a strategic nuclear policy DSS for containing nuclear proliferation. Further research directions are discussed.","PeriodicalId":188437,"journal":{"name":"International Journal of Nuclear Knowledge Management","volume":"151 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Nuclear Knowledge Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJNKM.2009.027062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Discerning the nuclear proliferation intentions of nation-states is a challenge faced by strategic policy decision makers worldwide. Typical nuclear proliferation discourses revolve around the intentions and capabilities of nation-states, as also the events and conditions furthering the cause of nuclear proliferation. Various international relations theories try to explain a state's motivations for proliferation. However, policy makers are often confronted with strategic decision-making situations that are complex, nonlinear and evolving. In order to provide them with any meaningful support under such circumstances, a Decision Support System (DSS) model is required that can provide a complex, emergent insight into the proliferation intentions of nation-states. This paper presents such a computationally intelligent model (Discerning Nuclear Intentions or DiNI) based on the sociobiological phenomenon of altruism. A hypothetical case study is used to demonstrate the model. The results show the potential of this model as a strategic nuclear policy DSS for containing nuclear proliferation. Further research directions are discussed.