Answers.Body: <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>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-03-04T23:02:12.290Z
Answers.LastActivityDate: 2019-03-04T23:02:12.290Z
Answers.UserDisplayName: Douglas Daseeco
Body: <p>How accurate are neuro-evolution algorithms (such as NEAT) in modelling real organism evolution?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-03-04T16:53:14.650Z
Comments.Text: There are a lot of types of organism. Do you have a specific subset in mind?
Comments.UserDisplayName: Neil Slater
Tags: <evolutionary-algorithms><neat><neuroevolution>
Title: How accurate are neuroevolution algorithms in modelling organism evolution?
UserDisplayName: Sebastian Dixon
ThreadText: # 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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