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JDMS Special Issue: Agent Based Modeling for Understanding Complexity


Call For Papers

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

Special Issue: Agent Based Modeling for Understanding Complexity – Lessons learned from the Defense Domain where lack of adherence to Systems Theory lead to unpredicted states or behavior


Introduction

Systems designed for the Defense community are exhibited by extreme complexity. This element of complexity extends to the instantiation of system of systems. That is, descriptive operational relationships are constantly changing in time and space. State variables are defined to capture the operational relationships by which the systems can be designed, tested, operated and reproduced to perform some mission. This would suggest, in principle, that the complexity of one system could be compared with that of another even though everything else about the two systems is different. Alternatively, the systems homomorphism principle could be applied even to system-of-systems. The apparent complexity makes unlike systems commensurable that share the same reality at different levels of abstractions.

With the advancement of Software Engineering practices and Object-oriented software methodologies, various discrete event simulation engines are in operation that model highly complex Defense critical systems. However, adherence to Systems Theory is questionable and proof of their simulation engine is seldom presented. Properties like close-under-composition are not verified and a simulation engine is mostly implemented using a software-based event scheduler. Agent Based Modeling (ABM) has emergence as its underlying principle.. Simply stated, an emergent property is a property possessed by an assemblage of things that is not possessed by any member of the assemblage individually. Emergence, as most familiar with ABM, can be described as either weak or strong. It is the property of emergence that supports the application of Ashby’s Law of Requisite Variety and the Conant-Ashby Theorem. This special issue will be looking for authors who have applied these two Systems Science principles to control the emergent behavior exhibited in Defense systems.


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: Agent Based Modeling for Understanding Complexity”.

Note: Manuscripts must not have been previously published or be submitted elsewhere. Each submitted manuscript must include title, names, author’s affiliations, postal and email addresses, an extended paper, and a list of keywords. For multiple author submission, please identify the corresponding author.


Due Dates

Full papers due 30 November 2014
Expected date of publication Spring 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

  • Larry B. Rainey, Ph.D.
    Founder and Senior Partner
    Integrity Systems and Solutions, LLC
    Colorado Springs, CO

    Larry.Rainey@gmx.com
  • Saurabh Mittal, Ph.D.
    Founder and President
    Dunip Technologies, LLC
    Colorado, USA

    smittal@duniptech.com