What eternabot doesn’t know - yet
I was looking at some of the eternabot strategies that were uploaded before last round closed. And I thought to myself, the bot is all over the place. Because it has no idea what elements are important in the puzzle - besides making a legal solve.
Many of its switches are full moving or it doesn’t know when it pays to tie the tails together, to decrease the switching area.
Strategy
Aptamer gates usually prefer something like 3-4 bp in exclusion labs (turnoff labs) and something like 3-6 bp in Same state (turn on labs.) With 5 being best.
Turnoff labs
Reward 3 base pair aptamer gates with 3+
Reward 4 base pair aptamers with 2+
Decrease rewards for aptamer gates if longer (in the switching half of the aptamer, the end turning towards the MS2 sequence
Turnon labs
Reward 3 base pair aptamer gates with 1+
Reward 4 base pair aptamer gates with 2+
Reward 5 base pair aptamer gates with 3+
Reward 6 base pair aptamer gates with 1+
Penalize for more base pairs and up.
2 Likes
Dear Eli Fisker,
Your strategy has been added to our implementation queue and we should have it completed within the next two to three weeks. You can check the status of the implementation here.
We will also be uploading the code used to write your strategy on this page if you are interested in reading it later.
After implementing your idea, we will post the direct link to the code here. Then, we will then optimize the parameters, and test it. At that point, we will tell you the correlation of how good your strategy was and what the new optimized parameters are.
Thanks for sharing your idea!
Vineet Kosaraju
The EteRNA Team
Dear Eli Fisker,
I am pleased to announce that a preliminary version of your strategy has been implemented with 29 lines of code. The code might slightly change in the future to remove bugs, but you can check the current version here. We will soon work on optimizing your parameters and testing the strategy.
Thank you again for sharing your switch strategy!
Vineet Kosaraju
The EteRNA Team