WIP Draft JOSS Submission #6
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Fixes empty video output
mmore500
commented
May 24, 2021
joss/paper.md
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| ## Replication Results | ||
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| Three experiments from the original SignalGP paper were replicated [1]. |
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I would make each case study its own subsection.
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Take a look at the citations section below to see how to format the citations
mmore500
commented
May 24, 2021
| and refer to \autoref{eq:fourier} from text. | ||
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| # Results | ||
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We should add a few sentences to the beginning of the results explaining that we did the replications to "integration" test the functionality of our implementation. They also serve as reference demos for new users.
mmore500
commented
May 24, 2021
joss/paper.md
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| Three experiments from the original SignalGP paper were replicated [1]. | ||
| The first one (the "Changing Enviroment" problem) consisted of K number of enviromental signals (2, 4, 8, 16) that organisms had to learn to call a unique signaling instruction for. signalgp-lite managed 100% of the results, even suprassing SignalGP in signal reproduction in the K=16 case (100% vs 32% average). | ||
| This is hypothesised to be due to a difference in how mutation parameters are defined and not due to an implementation difference.zoo |
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We should be sure to note that we used different mutation operators and different initial population generation (randomly generated as opposed to an empty program with a few nops)
2021-08-03 joss edits and comments
These figures have been regenerated from scratch. As such, some of the data might differ from their .png counterparts (in particular, the microbenchmarks). Moreover, it looks like the control microbenchmark did not run. Upon closer inspection, it seems that it is missing from microbenchmarks/ on `demos` and `master` alike.
* Add control bench by #ifndef'ing benchmarking loop * Make sure variable is not being optimized out
This is achieved by init'ing an int and marking it as do_not_optimize
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