Information occurs along a continuum from unorganized text at one extreme to rigorous statistical data at the other. Traditional descriptive analysis handles the former, statistical methods the latter But much of the richest information available for mternational relations research lies between these extremes This body of information can be formally organized, but the resulting data are usually verbal, not clearly bounded, and explained poorly by theory New analytical methods are needed to process such data; the increasingly creative field of artificial intelligence provides one of the most fertile sources of such methods To illustrate this point, a rule-based computational model designed to analyze Sino-Soviet negotiating sessions is presented: one part accepts user input, analyzes a single negotiating session, and constructs a case library, the second part allows highly efficient reviewing of this library. Keywords: computational modeling, artificial intelligence, expert systems, international relations, Smo-Soviet relations, rule-based analysis, prolog.
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