Top 3 aspects people get wrong about Agent Based Modeling

Many people wants to learn about agent-based modelling. However, this is a very complex field which can easily lead to misconceptions. In this video, we see the three most common points of confusion regarding ABM.

MY SOCIAL MEDIA:

MY WEBSITES:

BOOKS AND READS

Introduction to complex adaptive systems

HASHTAGS
# SocialComplexity #agentbasedmodeling #complexsystems #socialcomplexity

TIMESTAMPS
0:00 - Main misconceptions on agent-based modeling
1:28 - Why do we need agent-based modeling?
3:39 - Are agent-based models too simple?
6:19 - Toy models and realistic models
7:27 - Are agent-based models too complex?

[socialcomplexitydinocarpen]

Ok, I'm finally back on YouTube! It took me quite a lot of time, but this time we should have many more videos coming up.

I know many of you wrote comments to older videos, so in the next days I will start by responding to those comments. In the meanwhile, if you have any questions, comments or ideas, let me know here in the comments.

Ciao!

[alessandropala]

Love the quality improvement on this one!

[bartdebruin]

I have a question regarding toy models. If they are only useful to explain how certain stylezed rules might lead to some stylized outcomes. What then is the purpose of toymodels if they only remain stylized and can not say anything useful about the real world?

[tubesteaknyouri]

Interesting channel. Thanks!

I would be interested in a video that breaks down an ABM model from a paper and shows how to implement it in Mesa or Agents.jl.