Special Issue on Discrete Modeling and Simulation Tools

Tentative Submissions due: 1 November 2015
Estimated Publication date: July/August 2016

Much of the modeling community’s efforts have been focused on advancing the performance of its models and simulation tools. Nevertheless, it has become apparent to researchers that in several physical systems and scientific problems, the solution to their modeling problems resides within the nature of these systems instead of in the models themselves. Advancing the modeling community’s abilities with proper computational tools that are able to capture the essential features of systems where global behavior arises from the collective effect of simple/discrete components which interact locally, is an essential and time-saving development. In this regard, one of the most profound examples of Discrete Computing is the Cellular Automata (CA) paradigm stemming from the original notion of Von Neumann, who following Ulam’s suggestion, adopted a fully discrete approach for CA in which space, time, and even dynamic variables were defined as discrete. Most of the discrete models with non-trivial behavior have proven to be an appealing computational tool for researchers to generate and manage complexity using very simple rules of dynamic transitions.

This special issue seeks to identify and understand some of the unique aspects and novelties of Discrete Modeling and Simulation Tools and their applications. The focus could be on the computing abilities and principles of the Discrete Models — where the focus is on their expressive dynamics to represent phenomena of arbitrary complexity, their emergent computation, and their inherent parallelism, making them suitable for high performance computing. Attention could also be placed on the applications of these Discrete Modeling and Simulation Tools themselves, providing solutions to problems from different fields like physics, engineering, environment science, social science, and life sciences.

We encourage submissions from members of both Discrete Modeling and CA communities. Papers should address issues including, but not limited to:

  • Novel aspects and paradigms of Discrete Models and Simulation tools
  • Real world case studies and simulations with Discrete Models
  • Applications of Discrete Models and Simulation Tools in interdisciplinary fields
  • Advancement of Discrete Models and Simulations Tools towards high performance computing
  • Discrete Models and computational tools for almost real time processing
  • Development of Discrete Models and computational tools for real time decision systems

Guest Editors

  • Georgios Ch. Sirakoulis, Democritus University of Thrace
  • Jarosław Wąs, AGH University of Science and Technology
  • Gabriel A. Wainer, Carleton University

Submissions are due by 1 November 2015, and the issue is planned for publication in July/August 2016.

Authors are asked to submit high-quality original work that has neither appeared in nor is under consideration by other journals. All submissions will be peer-reviewed following standard journal practices. Manuscripts based on previously published conference papers must be extended substantially to include at least 50 percent new material. Manuscripts should be written in the active voice, should be no longer than 6,000 words (counting each standard figure and table as 250 words), and should follow the style and presentation guidelines of CiSE (see http://www.computer.org/web/peer-review/magazines for details).

Please submit your article using the online manuscript submission service at https://mc.manuscriptcentral.com/cs-ieee. When uploading your article, select the appropriate special-issue title under the category "Manuscript Type." Also include complete contact information for all authors. If you have any questions about submitting your article, contact the peer review coordinator at cise@computer.org.

Co-published by the IEEE Computer Society and the American Institute of Physics, Computing in Science & Engineering (CiSE) magazine features the latest computational science and engineering research in an accessible format, along with departments covering news and analysis, CSE in education, and emerging technologies.