Computer Visualization and Cognitive Graphics Tools for Applied Intelligent Systems

A.E. Yankovskaya, D.V. Galkin, and G.E. Chernogoryuk (Russia)

Keywords

Computer visualisation, cognitive graphic tools, applied intelligent systems, NM multiterminal networks, medical diagnostics.

Abstract

Authors analyze cognitive graphics (CG) as an instrument for computer visualization in applied intelligent systems. Three approaches to CG design are described: matrix based, naturalistic and based on N-M multiterminal networks (the original authors approach). Practical application of N-M multiterminal networks (N-MMN) is presented for knowledge base representation, revealing regularities and decision making and decision justification in medical diagnostics (lung deceases). Authors suggest that combining matrix based, naturalistic and N-MMN methods of CG knowledge representation we design complex and effective CG tool box for AIS.

Important Links:



Go Back