MABS 2020 is part of AAMAS 2020 and will take place in Auckland, NZ, May 9 or 10, 2020.
The meeting of researchers from Multi-Agent Systems (MAS) engineering and the social/economic/organisational sciences is extensively recognised for its role in cross-fertilisation, 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, organisational 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 quite diverse and extensive. Topics relevant to this workshop include, but are not limited to, the following:
Moreover, in this edition, we will encourage submissions that address simulation analytics . In particular, we want to address new methods for sense-making from the results of large complex multi-agent simulations. These topics are important for the MAS/AI/ML communities and for economic/social/organizational scientists using simulations.
The workshop will provide a forum for social scientists, MAS and AI researchers and developers, and simulation researchers, (1) to assess the current state of the art in the modelling and simulation of social systems and MAS, (2) to identify where existing approaches can be successfully applied, (3) to learn about new approaches and explore future research challenges, and (4) to exchange ideas and knowledge in an inter-disciplinary environment.
The workshop will be of interest to researchers engaged in modelling and in analysing multi-agent systems, and those interested in applying agent-based simulation techniques to real-world problems. In addition, it will attract researchers committed to cross-cutting research that is complementary to more orthodox modelling approaches.
Papers are limited to 12 pages, including bibliography, in PDF format. Submission is single-blinded: it is up to the authors to put or not their identification and affiliation. Submission must be formatted according to the Springer LNCS and must be electronically submitted before the submission deadline through the workshop conference system, which is available at
https://easychair.org/conferences/?conf=mabs2020
All contributions will be peer-reviewed by at least two independent PC members. The evaluation criteria of contributions will be based on originality, quality, clarity, and its relevance to the workshop’s aims.
Best regards,
Samarth Swarup (University of Virginia),
Tony Savarimuthu (University of Otago)