Causality, information and time

by · Feb 22, 2018 · 111 views ·

Pražský informatický seminář

Any scientific discipline strives to explain causes of observed phenomena. Quantitative, mathematical description of causality is possible when studying phenomena that evolve in time and provide measurable quantities which can be registered in consecutive instants of time and stored in datasets called time series. As examples we can mention long-term recordings of air temperature, or recordings of the electrical activity of the human brain, known as the electroencephalogram.