Displaying 10 of 19 results complex social systems clear search
The CSSSA defines computational social science broadly as the theory-driven application of computational methods to analyze, model, and simulate social systems. This includes analyzing large-scale social data, exploring mechanisms underlying social dynamics through simulation,
and connecting insights to social science theory.
Taught by Prof. Dr. Petra Ahrweiler (Mainz University; president of ESSA) and Dr. Corinna Elsenbroich (Glasgow University), the course “Policy Modelling” focuses on the substantive problems, theories, and related computational models in a number of core areas of policy modelling. Participants learn to bridge the gap between policy practice and formal models by applying complexity-sensitive computational methods (especially agent-based modelling) using Netlogo and Python.
**Call for participation
**
https://mabsworkshop.github.io/
Virtual event, registration is free. All accepted papers will be printed in the AAMAS workshop proceedings and accepted papers, after[…]
MABS 2020 is part of [AAMAS 2020](https://aamas2020.conference.auckland.[…]
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/organisati[…]
Socio-Cognitive Systems: Computational and Formal models
A Workshop @ FAIM2018 (Federated AI Meeting which includes AAMAS, ICML, ICCBR and SoCS) at Stockholmsmässan, Stockholm July 9-19. 2018
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 […]
Displaying 10 of 19 results complex social systems clear search