Provolution
Provolution combines numerous adaptive genetic algorithms to simulate natural selection and evolutionary pressures within virtual or artificial environments. These algorithms iterate through vast genetic variations and applies selection criteria based on performance metrics such as adaptability, resilience, and functional efficiency. By integrating these simulations with biotechnological interfacing, virtual evolutionary outcomes can be transformed into tangible, manufacturable biological entities.
Prevolving implies the creation of digital evolutionary models, where organisms evolve in simulated environments under controlled conditions. The actual physical results are life-forms gifted with customised traits, enhanced biological capabilities or optimised environmental adaptability
Research
| Tier | 5.700 | A decimal number between 0.0 and ~12.0 indicating the overall level of "advancement" of the science |
|---|---|---|
| Type | Pure | Pure sciences are focused on research and the improvement of knowledge. Applied sciences are too, but to a lesser extent and grant access to more concrete outcomes such as blueprints, governance, and others. |
Aspects
| Physical | Abstract | |
|---|---|---|
| Natural | 7 | 3 |
| Artificial | 1 | 9 |
Aspect tiers heatmap
- 6.2005.985
- 7.2005.700
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- 8.2005.415
- 8.2005.415
- 7.2005.700
- 7.2005.700
- 6.2005.985
- 8.2005.415
- 6.2005.985
- 7.2005.700
- 6.2005.985
- 6.2005.985
- 7.2005.700
- 6.2005.985
Blueprints
Coming soon.