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JDMS Special Issue: Cyber Complex Adaptive Systems (CyCAS): Methodologies, Paradigms, Tools and Technologies

Call For Papers

Journal of Defense Modeling & Simulation: Applications, Methodology, Technology (JDMS)

Special Issue: Cyber Complex Adaptive Systems (CyCAS): Methodologies, Paradigms, Tools and Technologies


Introduction

Complex Adaptive Systems (CAS) are systems that display strong emergent behavior, have positive- and negative-feedback loops and have large number of adaptive agents. Examples of such systems include ant colonies, the biosphere, the brain, the immune system, the biological cell, businesses, communities, social systems, stock market, financial systems, High Frequency Trading systems, etc. Some of these examples can also be classified as open systems. One of the characteristic features of these systems is the generation of new knowledge within the system that has causal properties resulting in adaptive behavior of the system components itself. Cyber CAS (CyCAS) occurs in contemporary society where computational systems interact with both live human agents and virtual agents (software bots). The resulting complex system, for example, the World Wide Web, evolves in unknown ways not initially thought out by designers. Various types of communities emerge, that use the system in ways unthinkable by the system designers. Usage of Facebook to organize protests, Twitter to coordinate and You Tube to showcase demonstrations were critical in the Arab Spring revolution. On another note, usage of You Tube as a learning system makes everybody an educator. We frequently use DIY videos on You Tube for our personal advancement and Massive Open Online Courses (MOOCs) give these videos a formal structure. Learning amidst such CAS happens in leaps and bounds and aptly so, the technology to create such systems advances in lock-step fashion. While we have technologies to engineer such netcentric complex systems today, we are short of methodologies to understand the emergence of adaptive stance in these engineered systems. They are difficult to study due to unavailability of a ‘CAS’ sandbox. We would like to find answers to following questions before any netcenctric system becomes a CyCAS.

  • What is the general profile of a user interacting with CyCAS?
  • What are the requirements of a CyCAS?
  • What is the usage-spread of the system? For example, is the usage dependent upon demographics, local and global policies, etc.?
  • What is the failure criteria of CyCAS? Can it fail-fast or is it Anti-Fragile and evolve itself when it becomes live?
  • What is the evolution path of CyCAS? How can it be ensured and steered in the right direction?
  • What are the technology and hardware requirements of a self-sustaining CyCAS?
  • What are pre- and post-analytics specifications as supported by Big Data technologies?
  • What is the modeling and simulation platform to study CyCAS?
  • How can strong emergence be measured computationally?
  • What are the experimental frames and testing profiles for CyCAS V&V and T&E?
  • How can the DoD mandated Department of Defense Architecture Framework (Ver. 2.0) support the design of CyCAS?
  • How is the fundamental problem of new knowledge synthesis and usage at multiple levels of CyCAS addressed? Alternatively, what is a good paradigm to model an Open system?

The engineering process is a formal process that is applied to solve a particular problem and deliver a system that addresses it. With CyCAS, even the initial objective takes a spiral upturn or downturn (based on one’s perspective) and continuously evolves. In contemporary society, every Cyber-system must have a component of Computational Emergence that studies the life-cycle of such systems. In this JDMS Special Issue, we are looking for –

  • novel methodologies, paradigms, technologies, tools and case studies to design and evaluate adaptive stance of CyCASs
  • metrics, engineering processes, properties, modeling environments and High Performance Simulation platforms to conduct studies on computational emergence before such CyCAS are made operational
  • System architectures frameworks for CyCAS
  • Incorporation of natural and evolutionary computing in the analysis of CyCAS


Instructions for Manuscript Submission

For manuscript formatting and other guidelines, please visit the Author Guidelines for JDMS page.


Submissions for Full Paper Review

Manuscripts should be prepared and submitted online at the SCS Manuscript Management System. Please note in your online cover letter that your submission is intended for the "Special Issue: Cyber Complex Adaptive Systems (CyCAS): Methodologies, Paradigms, Tools and Technologies”.

Note: Manuscripts must not have been previously published or be submitted for publication elsewhere. Each submitted manuscript must include title, names, authors' affiliations, postal and e-mail addresses, an extended paper, and a list of keywords. For multiple author submission, please identify the corresponding author.


Due Dates

Full papers due 30 September 2014
Expected date of publication Fall/Winter 2015


Final Paper Submissions

Each final submission must be prepared based on the JDMS journal requirements (see the Author Guidelines for JDMS page).


Guest Editors

  • Saurabh Mittal, PhD
    Founder and Principal Scientist
    Dunip Technologies
    Tempe, AZ USA

    smittal@duniptech.com