Artificial Intelligence and Soft Computing ― ICAISC 2004: 7th International Conference Zakopane, Poland, June 2004 Proceedings

Authors: Leszek Rutkowski, Jörg Siekmann, Ryszard Tadeusiewicz, Lotfi A. Zadeh
Publisher: Springer
Edition: 1
Publish Year: 2004
ISBN: 9783540221234

This volume constitutes the proceedings of the 7th Conference on Arti?cial Intelligence and Soft Computing, ICAISC2004, held in Zakopane, Poland, June 7–11, 2004. The conference was organized by the Polish Neural Network Society in cooperation with the Department of Computer Engineering at the Tech- calUniversityofCzesto ¸ chowa, WSHE University in L´ od´ z and IEEE Neural Networks Society. The previous conferences took place in Kule (1994), Szczyrk (1996), Kule (1997) and Zakopane (1999, 2000, 2002) and attracted a large number of papers and internationally recognized speakers: Prof. Lot? A. Zadeh, Prof. RobertMarks,Prof. EnriqueRuspini,Prof. Zdzis lawBubnicki,Prof. Jacek ? Zurada, Prof. Shun-ichi Amari, Prof. Kaoru Hirota, Prof. Ryszard Tadeusiewicz, Prof. Shiro Usui, Prof. W lodzis law Duch, Prof. Erkki Oja, Prof. Syozo Yasui, Prof. Witold Pedrycz, Prof. Janusz Kacprzyk, Prof. Laszlo T. Koczy, Prof. Soo- Young Lee and Prof. Daniel Amit. The aim of this conference is to build a bridge between traditional arti?cial intelligence techniques and recently developed soft computing techniques. It was pointed out by Prof. Lot? A. Zadeh that “Soft Computing (SC) is a coalition of methodologies which are oriented toward the conception and design of information/intelligent systems. The principal m- bers of the coalition are: fuzzy logic (FL), neurocomputing (NC), evolutionary computing (EC), probabilistic computing (PC), chaotic computing (CC), and machine learning (ML). The constituent methodologies of SC are, for the most part, complementary and synergisticrather than competitive”. Thisvolumep- sents both traditional arti?cial intelligence methods and soft computing tech- ques presented in 14 parts: 1.