Survival Strategies
| dc.creator | Eubanks, David A. | |
| dc.date | 2008-12-03 | |
| dc.date.accessioned | 2026-07-07T12:08:43Z | |
| dc.date.available | 2026-07-07T12:08:43Z | |
| dc.description | This paper addresses the theoretical conditions necessary for some subject of study to survive forever. A probabilistic analysis leads to some prerequisite conditions for preserving, say, electronic data indefinitely into the future. The general analysis would also apply to a species, a civilization, or any subject of study, as long as there is a definition of "survival" available. A distinction emerges between two approaches to longevity: being many or being smart. Natural selection relies on the first method, whereas a civilization, individual, or other singular subject must rely on the latter. A computational model of survival incorporates the idea of Kolmogorov-type complexity for both strategies to illustrate the role of data analysis and information processing that may be required. The survival-through-intelligence strategy has problems when the subject can self-modify, which is illustrated with a link to Turing's Halting Problem. The paper concludes with comments on the Fermi Paradox. | |
| dc.description | 12 pages | |
| dc.identifier | https://arxiv.org/abs/0812.0644 | |
| dc.identifier | http://arxiv.org/abs/0812.0644 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/209417 | |
| dc.subject | Populations and Evolution | |
| dc.subject | Quantitative Methods | |
| dc.title | Survival Strategies | |
| dc.type | text |