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MABS 2014 : 15th International Workshop on Multi-Agent-Based Simulation

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Conference Series : Multi-Agent Systems and Agent-Based Simulation
 
Link: http://www.uv.es/grimo/mabs2014
 
When May 5, 2014 - May 6, 2014
Where Paris, France
Abstract Registration Due Jan 20, 2014
Submission Deadline Jan 22, 2014
Notification Due Feb 19, 2014
Final Version Due Mar 10, 2014
Categories    multi-agent systems   modeling   simulation   complexity
 

Call For Papers

--------- MABS 2014 - CFP ---------

(We apologize for multiples copies) (Please distribute this CFP among your colleagues and students)

--------- MABS 2014 - CFP ---------


15th INTERNATIONAL WORKSHOP ON MULTI-AGENT-BASED SIMULATION (MABS 2014)

http://www.uv.es/grimo/mabs2014 e-mail: mabs2014@easychair.org
Paris (France), 5-6th May, 2014


SCOPE

The meeting of researchers from MAS engineering and the social/economic/organizational sciences is extensively recognized for its role in cross-fertilization, and it has undoubtedly been an important source of inspiration for the body of knowledge that has been produced in the MAS area.

The MABS workshop series continues with its goal to bring together researchers interested in MAS engineering, with researchers focused on finding efficient solutions to model complex social systems, in such areas as economics, management, organizational and social sciences in general. In all these areas, agent theories, metaphors, models, analysis, experimental designs, empirical studies, and methodological principles, all converge into simulation as a way of achieving explanations and predictions, exploration and testing of hypotheses, better designs and systems.

This year, in addition to our usual range of topics for discussion, we would like to include a session focussing particularly on issues related to the use of Big Data in MABS. Researchers who are looking at any aspect of using Big Data to build MABS, MABS to improve understanding of Big Data, or related topics are strongly encouraged to make a submission.


TOPICS

The range of technical issues that MABS deals with is diverse and extensive and it includes:

Simulation methodologies:
Standards for MABS.
Methodologies and simulation languages for MABS.
Simulation platforms and tools for MABS.
Visualization and analytic tools.
Approaches for large-scale simulations.
Scalability and robustness in MABS.
Simulation modelling of multidirectional dynamics in complex social systems.
Provenance and ontology driven approaches in building simulations.
Simulation of social and economic behaviour:
Formal and agent models of social behaviour.
Cognitive modelling and social simulation.
Game theory and simulation.
Social structure: social networks and simulating organizations.
Simulating social complexity (e.g. structures and norms, social order, emergence of cooperation and coordinated action, self-organization, the micro-macro link).
Use of qualitative evidence to inform behavioural rules.
Applications:
MABS in environmental modelling.
Agent-based experimental economics.
Participative simulation.
MABS and games.
Big Data and Multi-Agent-Based Simulation:
Data driven simulations.
Real time data processing.
Design and analysis of simulation experiments including uncertainty analysis.
Handling Big Data in MABS including sense making.


SUBMISSION

Review process
MABS welcomes the submission of full papers with preference to the topics listed in the call for papers. All submissions will go through a peer review process, with two or three independent PC members reviewing each submission. Only those deemed to be 1) relevant to the workshop's aims, 2) presenting original work, and 3) of good quality and clarity will be accepted. Following the workshop, participants will be required to revise their papers, taking into account feedback received at the workshop, and then undergo a second review process before publication in the post-proceedings.

Submitting papers
All submissions should be no longer than 12 pages, in PDF format. Authors are required to use Springer LNCS format for proceedings. Eletronic submission will be managed online through the EasyChair system. To register your paper (deadline January 20th, 2014) you need to provide basic information about the submission including its title, abstract, keywords and author(s). You do not need to upload the full PDF for the purpose of paper registration, but the papers full PDF must be uploaded before the paper submission deadline (January 22nd, 2014).

Publication
All accepted papers will be included in the AAMAS 2014 Workshop Proceedings. Following the workshop, participants will be required to revise their papers, which will undergo a second review process before publication in the post-proceedings, as part of the Multi-Agent-Based Simulation Series for Springer-Verlag, Lecture Notes in Artificial Intelligence.


IMPORTANT DATES
Electronic abstract submission: January 20th, 2014
Paper submission deadline: January 22nd, 2014
Notification of acceptance: February 19th, 2014
Camera-ready papers due date: March 10th, 2014
Workshop celebration: May 5-6th, 2014


COMMITTEES

Organization
Emma Norling (Manchester Metropolitan University, UK).
Francisco Grimaldo (Universitat de València, Spain).

Steering Commitee
Frédéric Amblard (University of Toulouse, France).
Jaime Simão Sichman (University of São Paulo, Brazil).
Keiki Takadama (University of Electro-Communications, Japan).
Keith Sawyer (University of North Carolina at Chapel Hill, USA).
Luis Antunes (University of Lisbon, Portugal).
Nigel Gilbert (University of Surrey, UK).
Paul Davidsson (Malmö University, Sweden).
Rosaria Conte (National Research Council, Italy).
Scott Moss (Koblenz-Landau, Germany).


CONTACT

Emma Norling
School of Computing, Mathematics and Digital Technology
John Dalton Building
Manchester Metropolitan University
Chester Street
Manchester
United Kingdom
M1 5GD
Tel: +44 161 247 3884
norling@acm.org

Francisco Grimaldo Moreno
Departament d'Informàtica
Escola Tècnica Superior d'Enginyeria (ETSE)
Universitat de València
Avinguda de la Universitat, s/n
46100 Burjassot-València
Spain
Tel: +34 96 354 44 87 (+34 96 354 45 65)
francisco.grimaldo@uv.es

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