
Artificial Intelligence and Soft Computing, Part II
10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part II Proceedings
Springer (Publisher)
1st Edition
Published on 1. June 2010
Book
Paperback/Softback
711 pages
978-3-642-13231-5 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
296 s/w Abbildungen
711 p. 296 illus.
Dimensions
Height: 0 mm
Width: 0 mm
Weight
1116 gr
ISBN-13
978-3-642-13231-5 (9783642132315)
DOI
10.1007/978-3-642-13232-2
Schweitzer Classification
Other editions
Additional editions

Leszek Rutkowski | Rafal Scherer | Ryszard Tadeusiewicz
Artificial Intelligence and Soft Computing, Part II
10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part II Proceedings
E-Book
06/2010
Springer
€96.29
Available for download
Persons
Content
Neural Networks and Their Applications.- Evolutionary Algorithms and Their Applications.- Agent Systems, Robotics and Control.- Various Problems of Artificial Intelligence.