22nd International Conference on Principles and Practice in Multi-Agent Systems, PRIMA;
October 28th – October 31st 2019; Torino, Italy
PRIMA is a computer‐science conference with a focus on multi-agent systems and a long tradition in social-scientific research, in particular work on cooperation and coordination, norm formation, trust and reputation, learning, emergence, negotiations, coalition formation, voting, markets, pedestrian dynamics, and dynamics of and in networks. These topics are typically studied with methods from game theory, social simulation, agent-based modeling, complexity science, and formal logic. There is also strong interest in empirical research in the field and the laboratory.
In order to further intensify interaction with the social sciences and the emerging field of computational social science, PRIMA successfully launched a social-science track in 2016.
In order to attract submissions from social scientists, who typically do not target publications in computer-science conference proceedings, papers accepted in the social-science track will not be published in the conference proceedings, but authors will be offered a fast-track submission (same reviewers, fast handling) to JASSS, the Journal of Artificial Societies and Social Simulation (http://jasss.soc.surrey.ac.uk/).
This year, PRIMA will be hosted in the beautiful city of Turin (Italy), at the historical Rectory building (Palazzo del Rettorato) of the University of Torino. We are looking forward to seeing you at this very special venue.
Conference webpage: https://prima2019.di.unito.it
Paper Submission: June 30th, 2019
Notification of acceptance:
August 25th, 2019
Conference: October 28th - 31st, 2019
Information for Authors
Papers should be at most 16 pages in length in the Springer LNCS format (www.springer.com/lncs). Authors interested in the fast-track submission to JASSS, however, can format their submissions according to the JASSS guidelines. If you want to submit to the social-science track, please indicate this in the Easy-Chair submission system.
If you have any question concerning the social science track, please contact Michael Mäs (email@example.com).