Modeling and Controlling Interstate Conflict

Details Modeling and Controlling Interstate Conflict Modeling and Controlling Interstate Conflict

2007-05-12

arxiv.org/abs/0705.1761v1

Computer Science

Computers and Society

6 pages

Scientific paper

Bayesian neural networks were used to model the relationship between input parameters, Democracy, Allies, Contingency, Distance, Capability, Dependency and Major Power, and the output parameter which is either peace or conflict. The automatic relevance determination was used to rank the importance of input variables. Control theory approach was used to identify input variables that would give a peaceful outcome. It was found that using all four controllable variables Democracy, Allies, Capability and Dependency; or using only Dependency or only Capabilities avoids all the predicted conflicts.

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