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Seminar on Computational Neuroscience of Complex Systems
All spike models were implemented in Netlogo except for the models in Repast4py
Topics : Networks Neuroscience, Dynamics Neuroscience, Agent Based Neuroscience, and Morphodynamics Neuroscience.
Organiza: Enver Oruro PhD, (Dir)Neurocomputing, Social Simulation and Complex Systems Laboratory, Instituto Científico, Universidad Andina del Cusco
The Official European Social Simulation Association Summer School in Social Simulation 2023, an introductory course in agent-based modelling, is taking place the week of 28 August to 1 September in Aberdeen, Scotland.
· MISS-ABMS is multi-cultural in terms of background and nationalities of the trainers and participants
· MISS-ABMS promotes a collaborative practice of modelling and simulation
· MISS-ABMS is multi-platform: Cormas, Gama and NetLogo
· MISS-ABMS presents the different stages of an ABM process, with a focus on model design and implementation
· MISS-ABMS offers a significant time for group work to design and implement an ABM
Jointly organized by the Behave Lab, University of Milan, and the University of Brescia, the 10th edition of this school aims to train students on agent-based modeling by theoretical and practica[…]
Jointly organised by the Behave Lab, University of Milan and University of Brescia, this school aims to train students on agent-based modelling by theoretical and practical lectures, daily hands-[…]
By taking part in this course, you will gain a modelling culture and learn the different skills required for building agent-based models (ABMs) applied to sociological, ecological, or socio-ecolo[…]
Previous seminar
2020: Seminar in Maternal-Infant Relationship Studies: Neuroscience and Artificial Intelligence March 7 and 9, 2020 | 9:00 am to 5:00 pm | ICBS, UFRGS,8888 Porto Alegre, Brazil https://sites.google.com/view/envermiguel/seminar-in-maternal-infant-relationship-studies
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.
This online school aims to train students on Agent-Based Models (ABM) in NetLogo by using modelling examples from social science research. The course is ideally addressed to beginners but also mo[…]
Purpose of the Winter School
The overall aim of the winter school is that the participants will learn about the opportunities and challenges of agent-based modeling of social-ecological systems. […]
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