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One of the most difficult aspects of modeling complex dilemmas indecision-analytic terms is composing a diagram of relevance relations from aset of domain concepts. Decision models in domains such as medicine, however,exhibit certain prototypical patterns that can guide the modeling process.Medical concepts can be classified according to semantic types that havecharacteristic positions and typical roles in an influence-diagram model. Wehave developed a graph-grammar production system that uses such inherentinterrelationships among medical terms to facilitate the modeling of medicaldecisions.

Graph-Grammar Assistance for Automated Generation of Influence Diagrams