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Machine Learning Methods for Better Understanding, Resolving, and Preventing International Conflicts

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Part of the book series: Advances in Group Decision and Negotiation ((AGDN,volume 2))

Abstract

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?

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Trappl, R., Hörtnagl, E., Rattenberger, J., Schwank, N., Bercovitch, J. (2006). Machine Learning Methods for Better Understanding, Resolving, and Preventing International Conflicts. In: Trappl, R. (eds) Programming for Peace. Advances in Group Decision and Negotiation, vol 2. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4390-2_11

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