Crisis Early Warning and International Conflict Management

Under construction starting December 1, 1994.

This Web page seeks to centralize pointers concerning the application of computational methods to understanding international relations. Computational methods are understood as artificial intelligence techniques, including machine learning and computational linguistics. In the broad field of international relations, we emphasize here international (and subnational) conflict processes as well as efforts to mediate or manage conflict.

Datasets on International Conflict Management

SHERFACS -- A Cross-Paradigm, Hierarchical and Contextually Sensitive, Conflict Management Dataset

International Conflict Management, 1945-1992

KOSIMO International Conflict Database.

Analysis Tools

Beyond Correlation: Bringing Artificial Intelligence to Event Data,'' International Interactions, 1994, 20 (1-2): 101-145. Postscript. An object-oriented system for manipulating and analyzing data hosts a rule learning system for non-rectangular dataset. This I2D has learned several hundred pages of empirically interesting rules on the history of international conflict since 1945 from the SHERFACS dataset. This system is occaisionally accessible over the Web to Learn if-then rules. Alternatively, A Common LISP Hypermedia Server offers some description of the application and several screen snapshots of an experiment and several rules learned.