Predicting
|>vote|leaders
|>vote|referenda
|>reallocate|responsibilities
|>reallocate|processors
|>reallocate|assets
ECOLOGY: |>protect human life
|>future protection
|Algorithms |>provide protection
|Formulas |>hoard ammunition
|Rules |>hide
Knowledge |>increase protection
(Processed Data) |>procreate
v |>nurture
v |>teach
v |>lead
v |>follow
v |>communications|provide data
v |>communications|request data
|Awareness |Processors |>future investments
Input -------->Processing-----------> Actions |>movements
(New Data) (recognition) |>grow
(Coordinates) ^ |>receive rewards
^ |>pay penalties
^ |>save data
^ |>suicide
^ |>gather energy
^ |>gather materials
^ |>build machines
^ |>self-composte
Data |>expend energy|work
(previous inputs) |>expend energy|destroy
|Data Banks |>destroy nuisances
|Future available Data |>secrets
|Encryption/Decryption |>manage supplies
|>publish
|>recreation
|>exercise
|>philanthropy
|>build for future
|>amass assets
|>act as dissident
by: D@CC
Date: 2021DApr14
Inspiration: Bitcoin, SAV, AI, . . .
Related Terms: Learning, Mining, Improving, Awaring
The concept of predicting is older than religion. Anyone who can predict the future is important. If the future of any specified act or object is known in advance; much can be gained. Rewards can be gathered; disasters can be avoided.
Do past actions predict future actions?
Is awareness a good guide?
Is knowledge as good as gold?
What are the rewards of predictions?
Source 01: Learning Algorithms by Anshul Saxena
Source 02: Wikipedia: Bayesian Regression
Source 03: Bayesian vs Linear Regression by Will Koehrsen in 2018
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