Neuroevolution
Neuroevolution is a form of artificial intelligence. It is a meta-algorithm, an algorithm for designing algorithms. It adopts the principles of biological evolution in order to design smarter algorithms. Eventually, the algorithms get pretty good at their job.
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Static Quality Morality
Pirsig then divides static quality into inorganic, biological, social, and intellectual patterns, in ascending order of morality (based on evolutionary order):
- Inorganic patterns: non-living things
- Biological patterns: living things
Producing human intelligence
Biological evolution is the only system to produce human intelligence.
If we want algorithms that can navigate the physical and social world as we do, we need to imitate nature's tactics. Instead of hard-coding for specific metrics, we must let a population of solutions blossom that may dis...
Limitations
The major challenges faced by digital signature schemes rely on at least three requirements:
- Algorithm. The quality of the algorithms used in a digital signature scheme is important. This includes the choice of reliable
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