NCSoICS 2014 - Special issue on: From Natural Computing to Self‐organizing Intelligent Complex Systems - Journal of Information Technology Research (JITR)

Guest Editor:
Barna László Iantovics, Petru Maior University, Romania
Constantin-Bălă Zamfirescu, Lucian Blaga University, Romania
Kenneth Revett, The British University, Cairo, Egypt
Adrian Gligor, Petru Maior University, Romania

INTRODUCTION:
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.

OBJECTIVE OF THE SPECIAL ISSUE:
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, selforganization 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.

RECOMMENDED TOPICS:
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

SUBMISSION PROCEDURE:
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 November 1, 2013 . 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/Files/AuthorEditor/guide....
All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.
Journal of Information Technology Research (JITR) is an official publication of the Information Resources Management Association
http://www.igi-global.com/journal/journal-informat...

Editor-in-Chief: Mehdi Khosrow-Pour
Published: Quarterly (both in Print and Electronic form)

PUBLISHER:
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 should be directed to the attention of one of the guest editors:

Guest Editors
Journal of Information Technology Research (JITR)
Barna László Iantovics, E-mail: laszlo-AT-science.upm.ro
Constantin-Bălă Zamfirescu, E-mail: zbc-AT-acm.org
Kenneth Revett, E-mail: ken.revett-AT-bue.edu.eg
Adrian Gligor, E-mail: adrian.gligor-AT-ing.upm.ro