Decisionand optimizationproblemsinvolvinggraphsarise in manyareas of artificial intelligence, including probabilistic networks, robot navigation, and network design. Manysuch prob...
A novel method of learning complex fuzzy decision regions in the n-dimensional feature space is proposed. Through the fuzzy decision regions, a given pattern's class membershi...
Weexplore basesfor decidingto team amongagents and present an algorithmthat bases that decision on performance. We illustrate the algorithm in a task shared amongsatellites.
-- This paper proposes a novel improvement of forecasting approach based on using time-invariant fuzzy time series. In contrast to traditional forecasting methods, fuzzy time serie...
Thepaper deals with investigations concerning potential structures of documentsthat will be subject to automated information extraction. The focus is on folding principles and the...
Aninference enginefor a hybrid representation scheme basedon neurules is presented. Neurulesare a kind of hybridrules that combinea symbolic(productionrules) and a connectionist r...
In this contribution, a way to enhance the performance of the classic Genetic Algorithm is proposed. The idea of restarting a Genetic Algorithm is applied in order to obtain better...
Grigorios N. Beligiannis, Georgios A. Tsirogiannis...
Both software applications and their development environment are becoming more and more distributed. This trend impacts not only the way software computes, but also how it looks. T...