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AISB opportunities Bulletin Item

CALL FOR PAPERS: Special Issue From Natural Computing to Self-organizing Intelligent Complex Systems

Contact: laszlo@science.upm.ro

Journal of Information Technology Research (JITR)

Guest Editors: 

Barna Lszl Iantovics, Petru Maior University, Romania      

Marius tefan Mruteri, University of Medicine and Pharmacy, Romania 

Constantin-Bl Zamfirescu, Lucian Blaga University, Romania


Recently a large number of bio-inspired computational methods have been used (also called methods 
of Natural Computing) to solve computationally hard problems in many domains. These methods have 
proven to be successful for different types of problems with unknown and uncertain data where the
 traditional approaches are not so effective. It is estimated that the biological life that evolved
 during millions of years will be a fruitful source of inspiration for the development of new 
computational methods offer in the years to come and they will represent an important research 
direction in the Artificial Intelligence mainstream.



From a practical perspective, an essential research direction is represented by the development 
of highly complex systems (usually agent-based) that intelligently solve problems of very high 
difficulty. We consider complex systems composed from a large number of components (agents) capable
to make specialized computations in the problem space. Such developments are usually composed of a
very large number of computational components, who interact many times nonlinearly, forming as a 
whole a complex problem solving system. A subclass of complex systems includes the hybrid systems 
composed from different type of artificial components capable to make computations, and human 
specialists that could interact in different points of decisions during the problems solving. 
Research related to complex systems address analysis of many aspects such as complexity, 
self-organization, emergence, intelligence, hybridization and so forth. Many computational complex
 systems developments require interdisciplinary approaches, which must include methods developed in 
different sciences, like sub-domains of the Artificial Intelligence like Natural Computing and 
Intelligent Agents. 

A particular subject by interest for this issue is represented by the self-organizing complex 
systems that use methods of natural computing in different tasks, like: problems solving, 
self-organization etc. This issue will centralize some state of the art results in the theme, 
which we estimate that will remain an important research direction in the near future.


Topics to be discussed in this special issue include (but are not limited to) the following:


        artificial intelligence

        large-scale and complex systems

        hybrid complex systems

        intelligent systems

        natural computing

        evolutionary systems

        complex systems modeling

        agents and multi-agent systems

        complex networks

        difficult problem for a human specialist

        difficult problem for a computational system

        complex systems specialized in difficult problems solving

        decision support systems

        problem solving method used by a complex system

        problems that could be solved by a complex system

        large-scale cooperative agent-based systems 

        self-organizing system 



Researchers and practitioners are invited to submit papers for this special theme issue on 
From Natural Computing to Self-organizing Intelligent Complex Systems on or before March 19, 2011.
All submissions must be original and may not be under review by another publication. Interested 
authors should consult the journals guidelines for manuscript submissions at 
http://www.igi-global.com/development/author_info/guidelines submission.pdf.  
All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA 
style for reference citations.

This journal is an official publication of the Information Resources Management Association


Editor-in-Chief: Mehdi Khosrow-Pour 

Published: Quarterly (both in Print and Electronic form)


The Journal of Information Technology Research is 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. 


All submissions should be directed to the attention of:

Barna Lszl Iantovics, Marius tefan Mruteri, Constantin-Bl Zamfirescu

Guest Editors

E-mail: laszlo@science.upm.ro