Abstract
A framework for qualitative modeling from linguistic data is proposed. Basic elements of the model are qualitative propositions, gradual and similarity rules, arithmetical rules and knowledge partition and execution strategy. These elements are introduced and discussed. The framework is applied to develop the extensive behavioral model of the Mulder's theory of power capable of prediction of power distribution in social groups. Knowledge is separated into loosely coupled modules called knowledge sources, and the backward search with forward evaluation is applied to evaluate the qualitative descriptions of power domains. The simulation results are presented and discussed.
