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AISB miscellaneous Bulletin Item

CFP: SPECIAL ISSUE JITR: From Natural Computing to Self-organizing Intelligent Complex Systems




SPECIAL ISSUE:  From Natural Computing to Self-organizing Intelligent Complex Systems
Journal of Information Technology Research (JITR)

Guest Editors:
Barna Lszl Iantovics, Petru Maior University, Romania
Marius ?tefan M?ru?teri, University of Medicine and Pharmacy, Romania
Constantin-B?l? 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 journal?s 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 M?ru?teri, Constantin-B?l? Zamfirescu
Guest Editors
E-mail: laszlo@science.upm.ro