CRAIFeb 13, 2016

A Mathematical Trust Algebra for International Nation Relations Computation and Evaluation

arXiv:1604.00980v1
Originality Incremental advance
AI Analysis

This provides a computational method for government decision-makers, such as in foreign or defense ministries, to classify nations as friendly, neutral, or hostile.

The paper tackles the problem of subjective and incomputable trust in international relations by proposing a mathematical trust algebra based on Bayesian inference, Dempster-Shafer theory, and subjective logic, with a case study on U.S.-Great Britain relations.

This paper presents a trust computation for international relations and its calculus, which related to Bayesian inference, Dempster Shafer theory and subjective logic. We proposed a method that allows a trust computation which is previously subjective and incomputable. An example of case study for the trust computation is the United States of America Great Britain relations. The method supports decision makers in a government such as foreign ministry, defense ministry, presidential or prime minister office. The Department of Defense (DoD) may use our method to determine a nation that can be known as a friendly, neutral or hostile nation.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes