Predator vs Prey using neural networks Test 2
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Uploader Comments (MattBee84)
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All Comments (11)
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Oh, I liked that. See my videos, a Kohonen ANN aplication is there.
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Wouldn't it be more effective to have animals that reproduced? that way you wouldn't need to run it in "rounds" and you'd get similar emergent behaviours?
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Interesting! Where can I find more infos about this subject? Did you put on a website?
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Very cool stuff! Can't wait to see more!
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Why do the predators stop when there is no prey nearby, wouldn't it have been advantageous for them to develop a searching behavior?
determinism89 2 years ago
the way basic neural networks work - if there is no input, there will be no output. When the predators were too far away to get any sensory input of other animals, they essentially switched off. Searching behaviour would then need to use something other than the neural networks.
MattBee84 2 years ago
Could search behaviour emerge if you used the previous output as the input to some of the top level perceptrons? If the output was a vector, rather than a set of coordinates, could you not feed this back in and end up with at least a creature that would head on the same direction as previously, given that all other inputs are static?
jase250 2 years ago
Interesting idea - It was years ago I did this project now, I think I did some attempts at passing previous output back in and I think it struggled to evolve with any intelligence. But if I ever go back to it, that may be the path I take :)
MattBee84 2 years ago
*quicknote
-each animal has sound and vision inputs.
-each animal has its own individual neural network.
-output from the network is simply movement in x and y coordinates.
MattBee84 4 years ago
I will put more info and the program up on a website soon and link it on here, there were lots of interesting results i had eg prey flocking, predators working together
MattBee84 4 years ago