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OFAI-TR-97-10 ( 64kB g-zipped PostScript file)

Machine Learning and Case-based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them

Robert Trappl, Johannes Fürnkranz, Johann Petrak, Jacob Bercovitch

In a current project we investigate the potential contribution of Artificial Intelligence for the avoidance and termination of crises and wars. This paper reports some results obtained by analyzing international conflict databases using machine learning and case-based reasoning techniques.

Keywords: Machine Learning, Case-Based Reasoning, Data Mining, Knowledge Discovery in Databases, International Relations, Peace

Citation: Trappl R., Fürnkranz J., Petrak J., Bercovitch J.: Machine Learning and Case-based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them, in G. della Riccia, H.-J. Lenz, and R. Kruse (eds.), Learning, Networks and Statistics: Proceedings of the ISSEK-96 Workshop, pp. 209-225, 1997.