Visualisation and classification with artificial life. (English) Zbl 1031.68569

Ultsch, Alfred

Kiers, Henk A. L. (ed.) et al., Data analysis, classification, and related methods. Papers from the 7th conference of the International Federation of Classification Societies (IFCS-2000), Namur, Belgium, July 11-14, 2000. Berlin: Springer. Studies in Classification, Data Analysis, and Knowledge Organization. 229-234 (2000).

Summary: Systems that possess the ability of emergence through self-organization are a particular promising approach to data mining. In this paper, we describe a novel approach to emerging self organizing systems: artificial life forms, called DataBots, simulated in a computer show collective behavioural patterns that correspond to structural features in a high dimensional input space. Movement strategies for DataBots have been found and tested on a real world data set. Important structural properties could be found and visualized by the collective organisation of the artificial life forms.
For the entire collection see [Zbl 0976.00026].

MSC:

68T05	Learning and adaptive systems in artificial intelligence
68U99	Computing methodologies and applications