police 1319d72e2d [research/lotterysim] reward auto crawler пре 3 година
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.ipynb_checkpoints f87435f9ff [research/lotterysim] miscel changes пре 3 година
Makefile 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
README.md 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
README.pdf 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
RPID.py e44d9f0d67 [research/lotterysim] reward pid пре 3 година
auto_crawler.py f87435f9ff [research/lotterysim] miscel changes пре 3 година
auto_crawler_takahashi.py f87435f9ff [research/lotterysim] miscel changes пре 3 година
avg_instance.py b6727d8c12 [research/lotterysim] staked_tokens/accuracy curve пре 3 година
constants.py e44d9f0d67 [research/lotterysim] reward pid пре 3 година
crawler.py 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
darkie.py e44d9f0d67 [research/lotterysim] reward pid пре 3 година
draw.py 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
elbow.py 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
f.hist e44d9f0d67 [research/lotterysim] reward pid пре 3 година
f_history_processed.png f87435f9ff [research/lotterysim] miscel changes пре 3 година
gains.txt 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
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highest_gain.txt 1319d72e2d [research/lotterysim] reward auto crawler пре 3 година
highest_gain_takahashi.txt f87435f9ff [research/lotterysim] miscel changes пре 3 година
instance.py e44d9f0d67 [research/lotterysim] reward pid пре 3 година
lead_history_processed.png f87435f9ff [research/lotterysim] miscel changes пре 3 година
leads.hist e44d9f0d67 [research/lotterysim] reward pid пре 3 година
lottery.py 1319d72e2d [research/lotterysim] reward auto crawler пре 3 година
lottery_dist.png 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
main.py f87435f9ff [research/lotterysim] miscel changes пре 3 година
one_year_reward.py 131bf0c901 [research/lotterysim] apy пре 3 година
pallas_unittests.csv 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
pid.py f87435f9ff [research/lotterysim] miscel changes пре 3 година
playground.ipynb f87435f9ff [research/lotterysim] miscel changes пре 3 година
plot_sim_vs_darkfi_distribution.py 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
reward_auto_crawler.py 1319d72e2d [research/lotterysim] reward auto crawler пре 3 година
sigmas_test_samples.py 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
stake.png b6727d8c12 [research/lotterysim] staked_tokens/accuracy curve пре 3 година
stake_reward.py ca0545ec44 [research/lotterysim] staking strategies пре 3 година
stake_rewards.txt 131bf0c901 [research/lotterysim] apy пре 3 година
stats 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
strategy.py e44d9f0d67 [research/lotterysim] reward pid пре 3 година
takahashi.py 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
takahashi_gains.txt 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
takahashi_instance.py 0b07b3dee6 [research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy пре 3 година
utils.py 131bf0c901 [research/lotterysim] apy пре 3 година

README.md


title: darkfi lottery simulation author: ertosns

date: 11/1/2023

simulate darkfi consensus lottery with a discrete controller

discrete pid controller.

control lottery f tunning paramter

$$f[k] = f[k-1] + K_1e[k] + K_2e[k-1] + K_3e[k-2]$$

with $k_1 = k_p + K_i + K_d$, $k_2 = -K_p -2K_d$, $k_3 = K_d$, and e is the error function.

simulation criterion

find $K_p$, $k_i$, $K_d$ for highest accuracy running the simulation on N trials, of random number of nodes, starting with random airdrop (that all sum to total network stake), running for random runing time.

alt text

notice that best parameters are spread out in the search space, picking the highest of which, and running the simulation, running for 600 slots, result in with >36% accuracy

alt text

comparing range of target values between

notice below that both y,T in the pallas field, and simulation have same range.

alt text

conclusion

using discrete controller the lottery accuracy > 33% with randomized number of nodes, and randomized relative stake. can be coupled with khonsu^1 to achieve 100% accuracy and instant finality.