Artificial Intelligence and Soft Computing, Part II

This volume constitutes the proceedings of the 10th International Conference on Arti?cial Intelligence and Soft Computing, ICAISC 2010, held in Zakopane, PolandduringJune13-17,2010. TheconferencewasorganizedbythePolishN- ral Network Society in cooperation with the Academy of Management in L od z (SWSPiZ), the Department of Computer Engineering at the Czestochowa U- versity of Technology,and the IEEE Computational Intelligence Society, Poland Chapter. The previous conferences took place in Kule (1994), Szczyrk (1996), Kule (1997) and Zakopane (1999, 2000, 2002, 2004, 2006, 2008) and attracted a large number of papers and internationally recognized speakers: Lot? A. Zadeh, Shun-ichi Amari, Daniel Amit, Piero P. Bonissone, Zdzislaw Bubnicki, Andrzej Cichocki,WlodzislawDuch,PabloA. Est evez,JerzyGrzymala-Busse,Kaoru- rota, Janusz Kacprzyk, Laszlo T. Koczy, Soo-Young Lee, Robert Marks, Ev- gelia Micheli-Tzanakou, Erkki Oja, Witold Pedrycz, Sarunas Raudys, Enrique Ruspini, Jorg Siekman, Roman Slowinski, Ryszard Tadeusiewicz, Shiro Usui, Ronald Y. Yager, Syozo Yasui and Jacek Zurada. 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 Lot? A. Zadeh that Soft Computing (SC) is a coalition of methodologies which are o- ented toward the conception and design of information/intelligent systems. The principal members 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 themostpart,complementaryandsynergisticratherthancompetitive. Thisv- ume presents both traditional arti?cial intelligence methods and soft computing techniques.