The ‘engineering’ and ‘adaptive’ approaches to system production are distinguished. It is argued that producing reliable self-organised software systems (SOSS) will necessa...
Abstract. Overload checking, forbidden regions, edge finding, and notfirst/not-last detection are well-known propagation rules to prune the start times of activities which have t...
Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In CREEK, there is a very strong coupling between cases and general domain knowledge, in that...
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...