Call for Papers for:
SIMULATION:
The Transactions of the Society for Modelling and Simulation International


A Special Issue on: Applications of Agent-Based Simulation to Social and Organisational Domains


Introduction

The coming together of agent-based simulation technology and computational social simulation over the last decade has started to produce results.  The recent formations of NAACSOS (North American Association for Computational Organisational and Social Science) in the US and ESSA (European Social Simulation Association) in Europe are testaments to this fact.  The results are in the form of useful applications of agent-based social simulation to organisational and other social issues, for example in the FIRMA project.  However much of this work has not reached the wider simulation community.  This Special Issue of SIMULATION aims to help rectify this, providing a showcase for such applications.

The topic

An agent-based social simulation is: where actors in a social or organisational domain are represented explicitly by entities with (complex) mental properties (i.e. their internal information processing capabilities) and modes of interaction between them, so that these entities and their interactions are meaningfully interpretable as the cognition and actions of those actors.  This approach allows for a more direct and descriptive approach to social simulation so that the content and design of simulations are easier to criticise and correct by both experts and stakeholders.  The relative disagregation of such simulations allows for the testing of assumptions used in more traditional statistical (or other aggregate) modelling.

Many of the well-known social simulations are very abstract (e.g. Axtell and Epstein's Sugarscape) and are perhaps closer to an analogy to help think about social processes rather than attempting to represent observed social systems.  In this special issue we aim to address the other end of the spectrum, by focusing on more applied simulations that seek to represent social phenomena in a more direct way. Such applied agent-based social simulation has started to appear in a number of fields including: environmental management; land-use studies; traffic management; crowd control; and urban settlement patterns.

Thus we will solicit papers that meet the following criteria:
Issues that are important to explicate include:
The submitted papers should be accessible to the broad range of Simulation readers, so that any special issues, methods or technologies that are particular to agent-based social simulation or the chosen application domain need to be clearly explained.

Instructions for manuscript preparation

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

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 abstract, and a list of keywords. For multiple author submission, please identify the corresponding author. Submissions should include a cover letter confirming that the submission represents an original paper that has not be submitted or published elsewhere. 

Deadlines

Full paper submission February 29, 2004
Reviews sent April 30, 2004
Final version of manuscripts June 30, 2004
Expected date of publication   November 2004

Submissions for full paper review

Manuscripts should be prepared and submitted using the online manuscript submission system at http://simulation.manuscriptcentral.com/ according to the author guidelines for SIMULATION but it is important that you also email Michael Möhring at moeh@uni-koblenz.de and inform him that you have done this giving him the paper number that is allocated to you by the submission system.

Final paper submissions

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

For questions contact either of the editors at:

Bruce Edmonds
bruce@cfpm.org
Centre for Policy Modelling
Manchester Metropolitan University

Michael Möhring
moeh@uni-koblenz.de
Computer Science Applications in the Social Sciences
University of Koblenz-Landau