YoVDO

Agent Based Modeling

Offered By: The National Centre for Research Methods via YouTube

Tags

Statistics & Probability Courses Agent-Based Modeling Courses Uncertainty Quantification Courses

Course Description

Overview

Explore the fundamentals of Agent Based Modeling for social research in this comprehensive 2.5-hour lecture series. Delve into the core concepts of modeling, including its introduction and advanced aspects, before focusing on the specifics of Agent Based Modeling (ABM). Learn about the crucial role of time in ABM simulations and how to assess data quality effectively. Gain insights into model analysis techniques and uncertainty quantification methods. Discover the application of psychological experiments in ABM and understand the importance of proper documentation for agent-based models. Conclude by examining the concept of provenance in simulation studies, equipping you with a well-rounded understanding of ABM's application in social research.

Syllabus

Agent Based Modelling for Social Research- Introduction.
Introduction to Modelling Part 1.
Introduction to Modelling Part 2.
Introduction to ABM.
Time in Agent-based models.
Data Quality Assessment.
Model Analysis and Uncertainty Quantification.
Psychological Experiments.
Documentation of agent-based models.
Provenance for Simulation Studies.


Taught by

NCRMUK

Related Courses

Data Science: Inferential Thinking through Simulations
University of California, Berkeley via edX
Decision Making Under Uncertainty: Introduction to Structured Expert Judgment
Delft University of Technology via edX
Probabilistic Deep Learning with TensorFlow 2
Imperial College London via Coursera
Sampling in Python
DataCamp
Scientific Machine Learning: Opportunities and Challenges - Keynote
The Julia Programming Language via YouTube