Computationalism (the idea that everything in existence is fully characterized by states and transition functions) is
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Replying to @Plinz
I look at it a bit differently. Anything you can make or do must be able to be described. If you can't describe t you can't make/do it. Predictive Innovation model describes those. Göedel's Incompleteness leads me to believe we can't fully know the next step.
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Replying to @MarkProffitt
You can know the next step if your model is isomorphic to the local ground truth and the ground truth is deterministic, but unless you can make full observations and have resources to process them, you cannot know if your model captures the ground truth.
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Replying to @Plinz
The key word was "fully". I can map out all of the next steps with more than enough detail to do them. One thing I don't know is when someone will do it. I can know what is next and the conditions that will cause it but people can wait 1000 years before acting.
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Since you cannot hope to obtain the information that fully determines the behavior of people, you cannot make an isomorphic model to fully predict it.
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