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Your query term was 'number = 96-24'1 report found
- ÖFAI-TR-96-24 (
114kB g-zipped PostScript file)Knowledge Discovery in International Conflict Databases
- Johannes Fürnkranz, Johann Petrak, Robert Trappl
- Artificial Intelligence is heavily supported by military institutions,while
practically no effort goes into the investigation of possible
contributions of AI to the avoidance and termination of crises and
wars. This paper makes a first step into this direction by
investigating the use of machine learning techniques for discovering
knowledge in international conflict and conflict management
databases. We have applied similarity-based case retrieval to the
KOSIMO database of international conflicts. Furthermore, we present
results of analyzing the CONFMAN database of successful and
unsuccessful conflict management attempts with an inductive decision
tree learning algorithm. The latter approach seems to be particularly
promising, as conflict management events apparently are more
repetitive and thus better suited for machine-aided analysis.
Keywords: Machine Learning, Data Mining, Knowledge Discovery, Peace
- Artificial Intelligence is heavily supported by military institutions,while
practically no effort goes into the investigation of possible
contributions of AI to the avoidance and termination of crises and
wars. This paper makes a first step into this direction by
investigating the use of machine learning techniques for discovering
knowledge in international conflict and conflict management
databases. We have applied similarity-based case retrieval to the
KOSIMO database of international conflicts. Furthermore, we present
results of analyzing the CONFMAN database of successful and
unsuccessful conflict management attempts with an inductive decision
tree learning algorithm. The latter approach seems to be particularly
promising, as conflict management events apparently are more
repetitive and thus better suited for machine-aided analysis.