期刊
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
卷 176, 期 -, 页码 -出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.techfore.2021.121457
关键词
Entropy; Complexity; Singularity; Logistic growth; S-curve
Entropy always increases in a closed system, but complexity initially increases and then decreases as equilibrium is approached. A 20-year old study quantified complexity for the entire Universe and concluded that complexity will soon begin decreasing, a conclusion now supported by other researchers. Additionally, previous predictions about milestones have not been observed. The study's conclusion remains valid, predicting the next two milestones to occur around 2033 and 2078.
Entropy always increases monotonically in a closed system but complexity increases at first and then decreases as equilibrium is approached. Commonsense information-related definitions for entropy and complexity demonstrate that complexity behaves like the time derivative of entropy, which is proposed here as a new definition for complexity. A 20-year old study had attempted to quantify complexity (in arbitrary units) for the entire Universe in terms of 28 milestones, breaks in historical perspective, and had concluded that complexity will soon begin decreasing. That conclusion is now corroborated by other researchers. In addition, the exponential runaway technology trend advocated by supporters of the singularity hypothesis-which was in part based on the trend of the very 28 milestones mentioned above-would have anticipated five new such milestones by now, but none have been observed. The conclusions of the 20-year old study remain valid: we are at the maximum of complexity and we should expect the next two milestones at around 2033 and 2078.
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