https://github.com/reubenjohn/ant-then-there-were-none

Simulating an ant colony. Demonstration of Swarm Intelligence and emergent intelligence.
https://github.com/reubenjohn/ant-then-there-were-none

Last synced: 3 months ago
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Simulating an ant colony. Demonstration of Swarm Intelligence and emergent intelligence.

• Host: GitHub
• URL: https://github.com/reubenjohn/ant-then-there-were-none
• Owner: reubenjohn
• License: mit
• Created: 2020-02-25T20:05:18.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-03-01T22:25:41.000Z (over 5 years ago)
• Last Synced: 2025-01-21T08:09:41.647Z (5 months ago)
• Language: C#
• Size: 116 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Ant Then There Were None

Simulating an ant colony.

Why?

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Because Ants are cool! Don't believe me? Check out this video by Ted-Ed.

[![Inside the ant colony - Deborah M. Gordon](https://img.youtube.com/vi/vG-QZOTc5_Q/0.jpg)](https://www.youtube.com/watch?v=vG-QZOTc5_Q)

On a more serious note, Ant colonies represent a very important problem in Artificial Intelligence. Ant colonies are perfect examples of [Swarm Intelligence](https://en.wikipedia.org/wiki/Swarm_intelligence). Ant colonies are capable of highly complex and coordinated behaviors from otherwise simple rules a.k.a emergent behaviors.

How?

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In order to truly demonstrate emergent behaviors, the only behaviors that are explicitly encoded are for that of an individual ant. Any macro behaviors of the colony, as a result, are therefore most certainly emergent.

Roadmap (See [GitHub Project](https://github.com/reubenjohn/Ant-Then-There-Were-None/projects/1) for latest updates)

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- ~~Roam~~

- ~~Grab food in sensory range~~

- ~~Attraction towards food markers (presumably left by other ants)~~

- Drop food markers

- Drop at queen in sensory range

- Attraction towards queen markers when food is in posession