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!
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.
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.
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!
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Elimination of mandatory retirement at 65 is a factor leading to bad academic job market: sciencemag.org/careers/2018/1…
Solution: semi-retirement.
"[Having waited to semi-retire until] 74, I in essence removed 9 years from someone else’s career. I should have stepped aside sooner."
I'd be interested to see a graph of average age of retirement for tenured academics on the same plot as the average age of starting a tenured job over the last decades.
I should probably find Larson's paper and see if that sort of data is there.
Unfortunately, not very big on data. So it doesn't have the figure I want, but the closest is their simulation of number of years as faculty in the lower figure.