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Notes on a linguistic description as the basis for automatic image understanding

Tadeusiewicz R., Ogiela M. R., Szczepaniak P. S.

International Journal of Applied Mathematics and Computer Science

2009

Vol. 19, no 1

143-150

The main paradigm of image understanding and a concept for its practical machine realisation are presented. The crucial elements of the presented approach are the formalisation of human knowledge about the class of images that are to be automatically interpreted, a linguistic description and the realization of cognitive resonance.

Supporting a Medical Diagnostic Process by Selected AI Methods : an Asperger Syndrome Case Study

Kakiashvili T., Koczkodaj W. W., Matheson D., Montgomery P., Passi K., Rybakowski F., Tadeusiewicz R., Woodbury-Smith M.

Studia Informatica : systems and information technology

2008

Vol. 1(10)

5--13

A medical knowledge-driven diagnostic process can be supported by AI methods as presented here by an Asperger Syndrome case study. Two methods: consistency-driven pairwise comparisons (CDPC) and automatic understanding (AU) are presented in this study. Deficiencies of a data-driven model for the medical diagnostic p rocess and clinical reasoning are also discussed.