2020 Intro to Agent-Based Modeling Simulation AI in NetLogo
Duration: 1h1m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 335 MB
Genre: eLearning | Language: English
Learn Agent-Based Modeling Artificial Intelligence paradigm and implement it on virus spread simulation in COVID times.
What you'll learn
1 Practical application of Agent-Based modeling ( virus spread simulation - e.g. COVID-19 )
Agent-Based modeling AI and its applicability in different fields
Visualize Descriptions in NetLogo
NetLogo language
Storytelling through simulation
Put NetLogo simulation models on Website
Requirements
Just basics of programming needed (defining variables, functions, if-statements) - I provide you with link to course with these basics, you can go through it in less than 30 minutes
Willingness to learn :)
Description
When people talk about artificial intelligence, they usually talk about machine learning.
Most people have not heard about Agent-Based modeling AI . That is a pity.
Agent-Based modeling is much simpler than machine learning. You basically just let agents interact in an environment and watch for any emergent behavior. You practically do not have to have any math background and you are able to create amazing things.
You can simulate society ( e.g. spread of virus, interaction of groups of people, of different individuals ... ), ecology (spread of fire) ... you can simulate chemical processes, physical phenomenons and more...
Doesn't that sound amazing? ( PS: simulating a society is a way to understand it )
As you'll learn in this course, the Agent-Based modeling AI paradigm is very different from Machine learning. It's even led to new and amazing insights in social sciences.
We will program in NetLogo language which is one of the most popular and poweful environment.
What is covered in this course?
Agent-Based Modeling theory
1 Practical hands-on project ( we will simulate spread of a virus )
Storytelling with simulation
On-Website simulation
If you're ready to take on a brand new challenge, and learn about powerful AI technique that you've never seen before in any kind of machine learning, then this course is for you!
See you in class!
TIPS (to get through the course):
Take handwritten notes. I will provide my presentations. This will help you understand.
Lectures - 1.5x speed, Coding - 1.25-1.5x speed
Write code yourself, don't just sit there and look at my code. You learn coding by ... coding. :)
Ask lots of questions on the discussion board. The more the better! I will answer them.
Who this course is for:
Beginners in Agent-Based modeling
Beginners in Simulating Complex systems
Social scientists
Beginners in Programming
Journalists
Ecologists
Physicists
Chemists
Biologists
Download link:
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