From: ranadhir@dodo.com.au   
      
   CALL FOR CHAPTERS   
   Proposals Submission Deadline: 6/15/2006   
   Full Chapters Due: 9/15/2006   
   Computational Intelligence Modeling Techniques and Applications   
   A book edited by Ranadhir Ghosh, Moumita Ghosh, John Yearwood and   
   Sidhivinayak Kulkarni, University of Ballarat, Australia   
   Introduction   
   Computational intelligence (CI) is an integrated science involving   
   fundamental and applied research that covers broadly the areas of   
   evolutionary computing, fuzzy computing, neuro-computing or various   
   types of hybrid models combining any of these. CI is rather an   
   interdisciplinary intuitive synergism between those and many more at the   
   verge of computer sciences, mathematics and engineering. Learning is an   
   essential process for CI modelling. A CI-based approach is mainly a   
   black box solution for solving problems that mainly consists of two   
   major steps - 1) Finding a suitable model for the problem, 2) Optimizing   
   the model using the process of learning. The process can be iterative   
   depending on the acceptance level of performance/accuracy obtained by   
   the optimization process. Although the name "black box modelling" is   
   sometimes irksome among the scientific community, it should be noted   
   here that the nature of certain problems does not permit a white box   
   solution for solving the problem. There are many instances where the   
   system dynamics or its nature cannot be ascertained, but building a   
   model that can generate the same pattern as the real world model can be   
   a huge benefit in understanding many aspects of the process or system.   
   The Overall Objective of the Book   
   This book will address state-of-the art solutions for many real-world   
   problems in business, science and the engineering domain. It delivers a   
   highly-readable and fully-systematic approach with a clear, sound and   
   comprehensive analysis and design practices, using CI for modelling and   
   solving in areas such as computer vision, manufacturing, business,   
   information retrieval, biology and robotics. This book provides   
   state-of-the art solutions in many domains, each containing selected   
   cutting-edge modelling solutions for those areas. Through reading   
   various CI modelling techniques in a variety of real-world applications,   
   the reader will find the rationale of such approaches, as well as a good   
   grasp of this emerging and exciting field. We believe that this book   
   will further enhance the understanding of CI and help the readers extend   
   the idea of modelling using a CI approach for many more real-world   
   problems that are impossible to be compiled in one volume of a text book.   
   The Target Audience   
   *University, Industry and government organisation researchers interested   
   in CI   
   *Management professionals of information technology staff and industry   
   *Other suitably-informed members of the community   
   Recommended topics include, but are not limited to, the following:   
   *	Computational learning theory   
   *	CI applications in computer vision   
   *	CI applications in manufacturing   
   *	CI applications in business   
   *	CI applications in Information retrieval   
   *	CI applications in biology   
   *	CI applications in robotics   
   *	Integrations of neural networks with expert systems   
   *	Integration of different learning paradigms   
   (supervised/unsupervised/reinforcement etc.)   
   *	Integrations of neural networks with fuzzy systems   
   *	Hybridization of soft computing with other machine learning   
   techniques:support vector machines, rough sets, Bayesian networks,   
   probabilistic reasoning, statistical learning   
   *	Incorporating CI techniques with Web and internet technologies   
   *	Evolutionary computation   
   SUBMISSION PROCEDURE   
   Researchers and practitioners are invited to submit on or before June   
   15, 2006, a 2-5 page manuscript proposal clearly explaining the mission   
   and concerns of the proposed chapter. Authors of accepted proposals will   
   be notified by July 10, 2006, about the status of their proposals and   
   sent chapter organizational guidelines. Full chapters are expected to be   
   submitted by September 15, 2006. All submitted chapters will be reviewed   
   on a double-blind review basis. The book is scheduled to be published by   
   Idea Group Inc., publisher of the Idea Group Publishing, Information   
   Science Publishing, IRM Press, CyberTech Publishing and Idea Group   
   Reference imprints.   
   Inquiries and submissions can be forwarded electronically (Word   
   document) or by mail to:   
   Dr. Ranadhir Ghosh   
   School of Information Technology & Mathematical Sciences   
   University of Ballarat   
   PO Box - 663, Ballarat, Victoria - 3353, Australia   
   Tel.: +61 3 53279074 * Fax: +61 3 53279966 * GSM: +   
   E-mail: r.ghosh@ballarat.edu.au   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)