Coding exercises featuring simple agent-based AI
Install npm.
sudo npm install grunt
git clone --recursive [email protected]:merlinND/ant-colony.git
cd ant-colony
npm install --dev .
# Start grunt watch
grunt
The compilation steps will run automatically on start.
Introduction to the framework, just run the provided code.
Introduction to functions and variables:
- receive several arguments
- compute euclidean distance and return it
- could show that if they get it wrong, behavior changes (e.g. going to furthest food instead of closest)
Introduction to conditions: receive a food item with several properties: age, poison. Should return true only if the food item is edible.
Introduction to loops: return the closest food in given list of foods (keep track of minimum).
Loops and conditions: call your is_edible function to only return the closest that is edible.
On an Ubuntu 16.04 web server:
sudo apt-get install npm
sudo npm install -g pm2 grunt
# Allow port 80 to be bound without sudo
sudo apt-get install libcap2-bin
sudo setcap cap_net_bind_service=+ep $(which node)
cd /var/www
git clone --recursive [email protected]:merlinND/ant-colony.git
cd ant-colony
npm install --dev
# Compile the application
grunt browserify
# Start the app, pm2 will restart it if needed when rebooting, etc
pm2 start ecosystem.config.js --env production
Pulling the latest changing, rebuilding and reloading the app:
git pull && grunt browserify
pm2 start ecosystem.config.js --env production
- Ant spite & animation by DudeMan on opengameart.org
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent