The Web is the nervous system of information society. The articles that comprise lEW address many basic problems ranging from structure analysis of Internet documents and Web dialogue management to intelligent Web agents for extraction of information, and bootstrapping an ontology-based information extraction system.
Provides an introduction to the fundamental concepts of fuzziness together with a compilation of recent advances in the application to medicine. The tutorials in the first part of the book range from basic concepts through theoretical frameworks to rule simplification through data clustering methodologies and the design of multivariate rule bases through self-learning by mapping fuzzy systems onto neural network structures. The case studies which follow are representative of the wide range of applications currently pursued in relation to medicine. The majority of applications presented in this book are about bridging the gap between low-level sensor measurements and intermediate or high-level data representations. The book offers a comprehensive perspective from leading authorities world-wide and provides a tantalising glimpse into the role of sophisticated knowledge engineering methods in shaping the landscape of medical technology in the future.
In recent years the Internet has become a source of data and information of indisputable importance and has immensely gained in acceptance and popularity. The World Wide Web (WWW or Web, for short), frequently named “the nervous system of the infor- tion society,” offers numerous valuable services leaving no doubt about the signi? cance of the Web in our daily activities at work and at home. Consequently, we have a clear aspiration to meet the obvious need for effective use of its potential by making - provements in both the methods and the technology applied. Among the new research directions observable in Web-related applications, intelligent methods from within the broadly perceived topic of soft computing occupy an important place. AWIC, the “Atlantic Web Intelligence Conferences” are intended to be a forum for exchange of new ideas and novel practical solutions in this new and exciting ? eld. The conference was born as an initiative of the WIC-Poland and the WIC-Spain Research Centres, both belonging to the Web Intelligence Consortium – WIC (http://wi-consortium. org/). So far, three AWIC conferences have been held: in Madrid, Spain (2003), in Cancun, Mexico (2004), and in ?ódz, ´ Poland (2005).
The material presented in the book is divided into two main parts: Keynotes, and Case Studies. Five keynotes written by W. Pedrycz, D. Dubois and H. Prade, M. M. Gupta, P. M. Frank, and T. Kaczorek deal with: introduction into the concept and basic technologies of computational intelligence (CI), role of fuzzy logic in information engineering, paradigms of fuzzy neural computing, intelligent methods in fault diagnosis of technical plants, and with models of two-dimensional (2D) systems which are useful in analysis of methods manifesting the learning ability, respectively. The second part provides the reader with a sampling of various applications of the methods (neural networks, genetic algorithms, fuzzy, and evolutionary systems) being the building blocks of the CI. However, a few contributions exceed this rather stiff frame of CI-definition.