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Improved Whitepaper.md.

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Simon Sarasova 2024-04-14 10:13:23 +00:00
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Contributors.md
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@ -9,4 +9,4 @@ Many other people have written code for modules which are imported by Seekia. Th
Name | Date Of First Commit | Number Of Commits
--- | --- | ---
Simon Sarasova | June 13, 2023 | 231
Simon Sarasova | June 13, 2023 | 232

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documentation/Whitepaper.md
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@ -96,7 +96,7 @@ Seekia aims to make humanity more intelligent by encouraging breeding between sp
### Personality
Seekia aims to improve the personalities of the human species by encouraging breeding between specific human pairs who are more likely to produce offspring who are virtuous and happy. Virtue and happiness are strongly influenced by genetics. Seekia aims to improve the personalities of humanity by building a prediction system that can predict how happy and virtuous someone is from their genome, and measuring the virtue and happiness of many prospective offspring genomes for each potential couple. Users will be able to sort their matches by how good each offspring's personality is likely to be. The creation of the prediction system can utilize training data about many people which includes each person's level of happiness, depression, virtue, immorality, hopefulness, negativity, empathy, narcissism, calmness, neuroticism, compassion, selfishness, sociability, awkwardness, generosity, stinginess, cleanliness, dirtiness, honesty, deceitfulness, perseverance, laziness, kindness, and cruelty.
Seekia aims to improve the personalities of the human species by encouraging breeding between specific human pairs who are more likely to produce offspring who are virtuous and happy. Virtue and happiness are strongly influenced by genetics. Seekia aims to improve the personalities of humanity by building a prediction system that can predict how happy and virtuous someone is from their genome, and measuring the virtue and happiness of many prospective offspring genomes for each potential couple. Users will be able to sort their matches by how good each offspring's personality is likely to be. The creation of the prediction system should utilize training data which contains many people's genomes and information about their personalities. Personality information should measure positive personality traits such as happiness, virtue, hopefulness, empathy, calmness, compassion, sociability, generosity, cleanliness, honesty, perseverance, and kindness.
## Open Source