Aims & 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.
The range of technical issues that MABS has dealt with and continues to deal with is diverse and extensive and includes:
- 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.
- 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.
January 27th, 2014 (
January 20th, 2014) - Extended electronic abstract submission.
February 2nd, 2014 (
January 22nd, 2014) - Extended paper submission deadline.
February 19th, 2014 - Notification of acceptance/rejection.
March 10th, 2014 - Camera-ready due date.
May 5th-6th, 2014 - Workshop dates.
All accepted papers will be included in the AAMAS 2014 workshop proceedings, provided that at least one author attends the workshop.
In addition, following the tradition of the previous MABS workshops, we intend to publish the accepted papers, after a further reviewing process, in Springer-Verlag's Multi-Agent-Based Simulation book series, Lecture Notes in Artificial Intelligence.
The preliminary schedule for the post-proceedings process is the following:
- October 2014 - Revised camera-ready papers.
- December 2014 - Publication of the post-proceedings.