Late last week, Dave Cohen, Pete Jeavons & I updated our paper on what we can learn about easy vs hard fitness landscapes by studying structure of gene-interaction networks (VCSP instances) that represent them: arxiv.org/abs/1907.01218
Now with many more pictures; prettier, too!
Now with many more pictures; prettier, too!
I've already made a thread about the previous version of this work that was published in CP2019:
But if there is interest then I could provide some tweets on the new results and changes in this version.
https://twitter.com/kaznatcheev/status/1146399662162796546
But if there is interest then I could provide some tweets on the new results and changes in this version.
The final version of our paper looking at the kinds of structure of gene-interaction networks that guarantee easy fitness landscapes is finally out: arxiv.org/abs/1907.01218…
It should appear in JAIR soon, and I think I'll do an updated thread on some of the new results then.
It should appear in JAIR soon, and I think I'll do an updated thread on some of the new results then.
For those looking for the final home in Journal of Artificial Intelligence Research, it is now out.
Representing Fitness Landscapes by Valued Constraints to Understand the Complexity of Local Search: jair.org/index.php/jair…
I'm excited for all the bio follow-up work this opens!
Representing Fitness Landscapes by Valued Constraints to Understand the Complexity of Local Search: jair.org/index.php/jair…
I'm excited for all the bio follow-up work this opens!
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