https://github.com/henryhale/venus

🦠 Predator-prey simulation with predefined behavior
https://github.com/henryhale/venus

ai-agents canvas2d css henryhale html html5-canvas javascript js predator-prey simulation typescript

Last synced: about 1 month ago
JSON representation

🦠 Predator-prey simulation with predefined behavior

• Host: GitHub
• URL: https://github.com/henryhale/venus
• Owner: henryhale
• License: mit
• Created: 2023-11-30T20:15:00.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2024-06-06T06:28:16.000Z (9 months ago)
• Last Synced: 2024-11-11T00:31:19.513Z (3 months ago)
• Topics: ai-agents, canvas2d, css, henryhale, html, html5-canvas, javascript, js, predator-prey, simulation, typescript
• Language: TypeScript
• Homepage: https://henryhale.github.io/venus/
• Size: 109 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

README

        


![](./public/favicon.png)

# venus

A simulation of a predator-prey world



## overview

With inspiration from [_Evolving AIs: Predator vs Prey_](https://www.youtube.com/watch?v=qwrp3lB-jkQ), 

this project tries to reverse engineer the system as shown in this [video](https://www.youtube.com/watch?v=qwrp3lB-jkQ). 

While the implementation depends on `Math.random()`, machine learning (ai) algorithms and libraries 

(such as [brain.js](https://brain.js.org/), [tensorflowjs](https://www.tensorflow.org/js), [ml5.js](https://ml5js.org/)) are to be put to use to power the behaviourof the agents. 

This follows addition of more characteristics that make it more like a real world scenario.

## live demo

Try it yourself: [Demo](https://henryhale.github.io/venus/)

## screenshot

![](./screenshot.png)

## license

Released under [MIT License](./LICENSE.txt)

Copyright © 2023 [Henry Hale](https://github.com/henryhale)