NEW:    MABS 2017 Springer Post-Proceedings in now available at:


The Multi-Agent-Based Simulation (MABS) workshop is the 18th of a series that began in 1998 (http://www.pcs.usp.br/~mabs/). The MABS workshop series aims to bring together researchers engaged in modeling and in analyzing multi-agent systems, and those interested in applying agent-based simulation techniques to real-world problems. Its scientific focus lies in the confluence of socio-technical-natural sciences and multi-agent systems, with a strong application/empirical vein. Lately, its emphasis is stressed on (i) exploratory agent-based simulation as a principled way of undertaking scientific research in the social sciences, and (ii) using social theories as an inspiration to new frameworks and developments in multi-agent systems.  In particular, MABS 2017will encourage submissions that address 

MABS for Big Data problems,

also the research subjects of

Prof. Rosaria Conte.

The high quality level of this workshop has been recognized since its inception and its proceedings have been regularly published in Springer's Lecture Notes series. In this edition, besides MABS 2017 Springer Post-proceedings, the most visionary papers of MABS 2017 Workshop will also be published in a special volume of Springer’s Lecture Notes in Artificial Intelligence (LNAI) Hot Topics series.  Moreover,  the best paper will aso appear in a special volume of Springer’s Communications in Computer and Information Science (CCIS) series.

MABS 2017 will be hosted at The 16th International Conference on Autonomous Agents and Multiagent Systems - AAMAS 2017, which will take place in São Paulo on May 8-12, 2016. 

MABS 2017 is partially supported by Institute of Smart Cities, Universidad Publica de Navarra, Spain,  under the project of "Ayudas a Talentos" by Caixa and Fundación Caja Navarra (Spain).


O Centro de Ciências Computacionais da Universidade Federal do Rio Grande é uma das 13 Unidades Acadêmicas da FURG, sendo responsável pela área das Ciéncias Computacionais, dedicando-se a formação de recursos humanos e a produção de conhecimento.

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