CALL FOR CHAPTERS
Proposal Submission Last Deadline: January 15, 2012
Efficiency and Scalability Methods for Computational Intellect
A book edited by Dr. Boris Igelnik, BMI Research, Inc., USA and Prof. Jacek Zurada, University of Louisville, USA
To be published by IGI Global: http://bit.ly/pov0xR
The methods of computational modeling and simulation of intellect have been developing in various fields, such as digital signal processing, image processing, robotics, systems biology, medical and pharmaceuticals applications, defense, national security, space research, financial applications, business and management applications, etc. The topic is of great importance for information and management science and technology, both currently and in future. The proposed book will present a number of diverse methods and approaches to the problem of modeling and simulation of intellect, currently existing in the different areas; their perspectives; and will target computational efficiency and scalability of these methods.
The Overall Objective of the Book
This book is devoted to providing the current state-of-the-art and future perspectives of the theories and the applications of the computational modeling and simulation of intellect across a wide range of applications. The main themes of the publication are computational efficiency and scalability of the suggested methods. Researchers, instructors, designers of information and management systems, users of these systems, and graduate students will easily acquire the fundamental knowledge needed to be at the forefront of the research and to use it in the applications.
The Target Audience
The book is intended for research workers, instructors, designers of the information and management systems, users of these systems, and graduate students in related fields, who want a gentle but rigorous introduction to the computational modeling and simulation of intellect.
Recommended topics include, but are not limited to, the following:
Digital Signal Processing.
Neural Networks and Associative Memories.
Fuzzy, Neuro-Fuzzy, and Hybrid Learning Systems.
Learning Systems Over Structured Data.
Support Vector Machines (SVM).
Intelligent Computational Methods Based on the Kolmogorov’s Superposition Theorem
Efficient Search Methods.
Computational Cognitive Networks.
Cognitive Informatics and Natural Intelligence.
Socio-Technical Analysis and Social Networks.
Autonomous Intelligent Systems.
Agent and Multi-agent Systems.
Medical and Pharmaceutical Applications.
Homeland Security Applications.
Researchers and practitioners are invited to submit on or before November 15, 2011, a 1-2 pages manuscript proposal clearly explaining the mission and concerns of the proposed chapter. Authors of accepted proposals will be notified by November 22, 2011 about the status of their proposals and the chapter organizational guidelines will be sent to them. The last proposal submission deadline is January 15, 2012 with the notification about the status of the proposals by January 22, 2012. Full chapters are expected to be submitted by April 27, 2012. Please note that only MS-Word is acceptable for the full chapter manuscript, and Latex is not acceptable. All submitted chapters will be reviewed on a double-blind review basis.
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2013.
Last Proposal submission deadline: January 15, 2012
Full chapter submission deadline: April 27, 2012
Review Results to Authors: July 27, 2012
Revised Chapter Submission: August 30, 2012
Final Acceptance Notification: September 30, 2012
Submission of Final Chapters: October 15, 2012
Final Deadline: November 30, 2012
NOTE: The authors may choose any computational intelligent application and stress efficiency and scalability issues, where it is relevant, in applied methods either experimentally, or theoretically, or in both ways.
Inquiries and submissions can be forwarded electronically (Word document) or by mail to:
Dr. Boris Igelnik
BMI Research, Inc
4761 Hillary Lane
Richmond Heights, OH 44143
Prof. Jacek Zurada
Computational Intelligence Lab
Electrical and Computer Engineering
405 Lutz Hall
University of Louisville
Louisville, KY 40292