Analysis of Systems

Reading systems of facts is more efficient compared to standard text

Image illustrates the difference between analysis of systems and analysis of simple text

Science Architect technology allows the reader, instead of the writer, to choose the path of reading after every scientific fact (statement). A shows the system of an article, where the reader must read the information in a strict manner: 1-2-3-4-5-6-7-8-9 (black triangle arrows). B shows a situation where information is stored as a system, reader can choose many different reading paths, for example, path 1-4-7-5-2-8-3 (white triangle arrows), or path 6-9-7-1 (black simple arrows). Overall, systems provide more possibilities of what to read and what to skip, which leads to more effective information analysis.

Analysis of systems is easier compared to standard text

Figure to represent benefits of analysis of systems

If scientist understands what the symbols in the diagram means, he can very easily identify needed elements and read only them. For example, the red element in the center is a problem and the arrow that points into that problem from the right indicates that the green statement on the right is a solution to that problem. Scientist can identify this without reading any text. Our research shows that humans significantly faster identify information in diagrams compared to standard text.

It should be noted that these symbols are universal to any field of science. Therefore, if a scientist has no knowledge about the subject, a lot of information will be immediately clear, because of the symbols. The same applies to different languages. For example, scientists from China are struggling in analysing scientific articles in English and to analyse statement systems would be significantly easier.

Finally, statement system modelling forces users to use very simple statements, which increases information understanding even more.

Additionally, if scientific information is stored as a system, it opens new information manipulation possibilities such as information filtration, information merge and automatic knowledge construction.