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System Modeling by Computer using Biomedical Texts

In the present paper we describe a new Artificial Intelligence method of system modeling that utilises causal knowledge extracted from different texts. The equations describing the system model are solved with a Prolog program which receives data such as values for its parameters from the text analysis subsystem. The knowledge extraction from the texts is based on the use of our knowledge representation independent method ARISTA that accomplishes causal reasoning directly from text. Our final aim is to be able to model biomedical systems by integrating partial knowledge extracted from a number of different texts and give the user a facility for questioning these models. The model based question answering we are aiming at may support both biomedical researchers and medical practitioners.