<p>Modelling genetic code persistence, mutation, and meiosis for neurological features or any other biological features is not the greatest of challenges. Modelling the rest of the organism that can support neural growth and change, the electrochemistry of the many types of neurons, and the environment that favors the emergence of learned neural behaviors is challenging and still far beyond the current level of technology.</p>

CC BY-SA 4.0
2019-03-04T23:02:12.290Z
2019-03-04T23:02:12.290Z
Douglas Daseeco
<p>How accurate are neuro-evolution algorithms (such as NEAT) in modelling real organism evolution?</p>

CC BY-SA 4.0
2019-03-04T16:53:14.650Z
There are a lot of types of organism. Do you have a specific subset in mind?
Neil Slater
<evolutionary-algorithms><neat><neuroevolution>
How accurate are neuroevolution algorithms in modelling organism evolution?
Sebastian Dixon
# How accurate are neuroevolution algorithms in modelling organism evolution?

(Asked by: username_0 on 2019-03-04)

How accurate are neuro-evolution algorithms (such as NEAT) in modelling real organism evolution?

**Tags:** evolutionary-algorithms, neat, neuroevolution

> **Comments:**
> **username_1**: There are a lot of types of organism. Do you have a specific subset in mind?  

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## 1 answers

### Answer by username_2 on 2019-03-04. Score: 1 | Accepted answer

Modelling genetic code persistence, mutation, and meiosis for neurological features or any other biological features is not the greatest of challenges. Modelling the rest of the organism that can support neural growth and change, the electrochemistry of the many types of neurons, and the environment that favors the emergence of learned neural behaviors is challenging and still far beyond the current level of technology.


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