
arXiv: 2211.16975
This work starts from definition of randomness, the results of algorithmic randomness are analyzed from the perspective of application. Then, the source and nature of randomness is explored, and the relationship between infinity and randomness is found. The properties of randomness are summarized from the perspective of interaction between systems, that is, the set composed of sequences generated by randomness has the property of asymptotic completeness. Finally, the importance of randomness in AI research is emphasized.
FOS: Computer and information sciences, Statistics - Other Statistics, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, General Mathematics (math.GM), Other Statistics (stat.OT), FOS: Mathematics, Mathematics - General Mathematics
FOS: Computer and information sciences, Statistics - Other Statistics, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, General Mathematics (math.GM), Other Statistics (stat.OT), FOS: Mathematics, Mathematics - General Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
