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Creature
Introduction |
Neural Miner |
Features |
Screenshots |
Downloads
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| | Introduction | |
| | Creature is an artificial intelligence project between three students to create an genetically evolving neural network controlled creature. My role in the project was the program the neural network.
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| | Neural Miner | |
| | Neural Miner is a neural network prototype that along with another student I created. I did most of the programming while I worked with the other student to learn more about neural network theory.
- Several miners hunt the map for food.
- The top miners from each generation breed and their colour, size, speed, and neuron weights are merged with random variations to create new miners.
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| | Features | |
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- Simulates several creatures during a period of time, each creature part of a larger generation pool.
- Creatures evolve parts (either a cylinder or a sphere) based on genetic algorithms.
- Each part contains a small independent but connected neural network which is either organic (makes decisions) or mathematical (reacts to input and out based on an evolved formula).
- Creatures learn to react (either positively or negatively) to light.
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| | Screenshots | |
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The Creature
Neural Miner
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| | Downloads | |
| | You can download a Windows binary of Neural Miner by using the utility described here.
However, due to this being a team project I do not have permission to release the Creature application.
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