You will often converge towards similar solutions using completely unrelated search strategies, in situations where the problem setup essentially dictates the solution.
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If two independent program synthesis engines A and B produce similar solutions to a given problem, these similarities are likely due to intrinsic properties of the problem. This observation alone does not entail any conclusions about how A or B work.
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What's more interesting than "A and B have found functionally similar solutions on this one simple problem", is to look at what kind of problems may be solved by A and by B, and how these sets differ. This is more likely to be informative about similarities between A and B.
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@stephen_wolfram’s principal of computational equivalence?Thanks. Twitter will use this to make your timeline better. UndoUndo
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two complex problems can be solved out by two completly different algorithms. For example one can follow a mechanical analogy to its main model and the other can follow a magnetic analogy to its main model... That's why the requirements are important before engineering the plan.
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what do you mean by independent? could a common perspecive of the solution space not be reached by comparing the approaches and results of different PSEs ?
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Deming's special cause/ common cause..
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