Machine Learning Methods for Better Understanding, Resolving, and Preventing International Conflicts
Robert Trappl, Erik Hörtnagl, Jürgen Rattenberger, Nicolas Schwank, Jacob Bercovitch · Kluwer Academic Publishers eBooks · 2006
The main motivation guiding our research during the last 15 years, formulated as question, has been: Is it possible to aid decision-makers or their advisors who want to prevent the outbreak of hostilities/wars or to end them by means of negotiations or mediation, by giving them (interactively) recommendations as the result of applying Artificial Intelligence methods to existing war/crisis/mediation databases?