Computational Intelligence

Computational Intelligence (CI) is a field of artificial intelligence . It summarizes three biologically motivated areas of information processing . It is based on algorithms of fuzzy logic and artificial neural networks as well as on the evolutionary algorithms . The term was coined in the 1990s by the Institute of Electrical and Electronics Engineers (IEEE). Sometimes it is used synonymously with soft computing , at least there are extensive overlaps.

All three subject areas have in common that they make mechanisms of biological problem-solving strategies usable for mathematical or engineering-technical questions without wanting to correctly model the original systems themselves. These serve more as a source of inspiration, based on the motto: "What works is allowed".

There are often synergies between the specialist areas. B. Evolutionary algorithms are often used for the design of artificial neural networks and fuzzy systems. Another example are so-called neuro-fuzzy systems, which can be displayed either as a fuzzy system or an artificial neural network without loss of information. Thus, on the one hand, they can be presented as a fuzzy system in an understandable form, and on the other hand, they can use the powerful learning methods of artificial neural networks.

In Germany, Computational Intelligence is now used at many universities (e.g. Uni Bonn, TU Darmstadt, Dortmund, Erlangen, Karlsruhe, Magdeburg, Marburg, Siegen, Osnabrück) and universities of applied sciences (Mittweida, South Westphalia, Cologne Dept. Gummersbach, Bochum, Darmstadt) taught in master's courses. There is also a large number of lectures on the individual sub-areas. Several scientific organizations regularly organize events on this topic (e.g. the annual Computational Intelligence workshops in the Bommerholz house near Dortmund).

The IEEE Computational Intelligence Society , founded in 2004, is internationally active.

Between 1997 and 2008 there was a special research area on Computational Intelligence at the University of Dortmund .

See also

• Soft computing , machine learning , neuroinformatics , data mining

literature

• Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing. 2013, John Wiley & Sons, ISBN 9781118337844
• Computational Intelligence: A methodical introduction by Kruse, Borgelt, Braune, Klawonn, Moewes, Steinbrecher, 2015, Springer, ISBN 9783658109035

Web links

• IEEE Computational Intelligence Society
• GMA Computational Intelligence Committee of the VDI / VDE Society for Measurement and Automation Technology (GMA) (annual workshops on the subject of Computational Intelligence)
• Encyclopedia of Computational Intelligence . In: Scholarpedia . (English, including references)
• Study of Computational Intelligence
• Matlab -Toolbox Gait-CAD ( GNU General Public License )

Individual evidence

1. ^ Volker Nissen: Soft Computing. In: Encyclopedia of Information Systems. Chair of Information Systems, University of Potsdam, accessed on March 15, 2019
2. ↑ see homepage of the SFB 531, accessed August 11, 2015 ( memento of the original from January 6, 2013 in the web archive archive.today ) Info: The archive link was automatically inserted and not yet checked. Please check the original and archive link according to the instructions and then remove this notice. 
3. ↑ see standard data of the SFB under GND 5261996-5