A Bayesian Analysis of Technological Intelligence in Land and Oceans

Current research indicates that (sub)surface ocean worlds essentially devoid of subaerial landmasses (e.g., continents) are common in the Milky Way and that these worlds could host habitable conditions, thence raising the possibility that life and technological intelligence (TI) may arise in such aq...

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Main Authors: Manasvi Lingam, Amedeo Balbi, Swadesh M. Mahajan
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Online Access:https://doi.org/10.3847/1538-4357/acb6fa
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author Manasvi Lingam
Amedeo Balbi
Swadesh M. Mahajan
author_facet Manasvi Lingam
Amedeo Balbi
Swadesh M. Mahajan
author_sort Manasvi Lingam
collection DOAJ
description Current research indicates that (sub)surface ocean worlds essentially devoid of subaerial landmasses (e.g., continents) are common in the Milky Way and that these worlds could host habitable conditions, thence raising the possibility that life and technological intelligence (TI) may arise in such aquatic settings. It is known, however, that TI on Earth (i.e., humans) arose on land. Motivated by these considerations, we present a Bayesian framework to assess the prospects for the emergence of TIs in land- and ocean-based habitats (LBHs and OBHs). If all factors are equally conducive for TIs to arise in LBHs and OBHs, we demonstrate that the evolution of TIs in LBHs (which includes humans) might have very low odds of roughly 1 in 10 ^3 to 1 in 10 ^4 , thus outwardly contradicting the Copernican principle. Hence, we elucidate three avenues whereby the Copernican principle can be preserved: (i) the emergence rate of TIs is much lower in OBHs, (ii) the habitability interval for TIs is much shorter in OBHs, and (iii) only a small fraction of worlds with OBHs comprise appropriate conditions for effectuating TIs. We also briefly discuss methods for empirically falsifying our predictions and comment on the feasibility of supporting TIs in aerial environments.
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spelling doaj.art-3ec8cafa645644ee8472d46d781df2952023-09-03T09:55:20ZengIOP PublishingThe Astrophysical Journal1538-43572023-01-0194512310.3847/1538-4357/acb6faA Bayesian Analysis of Technological Intelligence in Land and OceansManasvi Lingam0https://orcid.org/0000-0002-2685-9417Amedeo Balbi1https://orcid.org/0000-0002-3929-6932Swadesh M. Mahajan2https://orcid.org/0000-0003-2415-4840Department of Aerospace, Physics and Space Sciences, Florida Institute of Technology , Melbourne, FL 32901, USA ; mlingam@fit.edu; Department of Physics and Institute for Fusion Studies, The University of Texas at Austin , Austin, TX 78712, USADipartimento di Fisica, Università di Roma “Tor Vergata” , I-00133 Roma, ItalyDepartment of Physics and Institute for Fusion Studies, The University of Texas at Austin , Austin, TX 78712, USA; Department of Physics, School of Natural Sciences, Shiv Nadar University , Greater Noida, Uttar Pradesh, 201314, IndiaCurrent research indicates that (sub)surface ocean worlds essentially devoid of subaerial landmasses (e.g., continents) are common in the Milky Way and that these worlds could host habitable conditions, thence raising the possibility that life and technological intelligence (TI) may arise in such aquatic settings. It is known, however, that TI on Earth (i.e., humans) arose on land. Motivated by these considerations, we present a Bayesian framework to assess the prospects for the emergence of TIs in land- and ocean-based habitats (LBHs and OBHs). If all factors are equally conducive for TIs to arise in LBHs and OBHs, we demonstrate that the evolution of TIs in LBHs (which includes humans) might have very low odds of roughly 1 in 10 ^3 to 1 in 10 ^4 , thus outwardly contradicting the Copernican principle. Hence, we elucidate three avenues whereby the Copernican principle can be preserved: (i) the emergence rate of TIs is much lower in OBHs, (ii) the habitability interval for TIs is much shorter in OBHs, and (iii) only a small fraction of worlds with OBHs comprise appropriate conditions for effectuating TIs. We also briefly discuss methods for empirically falsifying our predictions and comment on the feasibility of supporting TIs in aerial environments.https://doi.org/10.3847/1538-4357/acb6faOcean planetsExoplanet surfacesAstrobiologyTechnosignaturesSearch for extraterrestrial intelligenceBayesian statistics
spellingShingle Manasvi Lingam
Amedeo Balbi
Swadesh M. Mahajan
A Bayesian Analysis of Technological Intelligence in Land and Oceans
The Astrophysical Journal
Ocean planets
Exoplanet surfaces
Astrobiology
Technosignatures
Search for extraterrestrial intelligence
Bayesian statistics
title A Bayesian Analysis of Technological Intelligence in Land and Oceans
title_full A Bayesian Analysis of Technological Intelligence in Land and Oceans
title_fullStr A Bayesian Analysis of Technological Intelligence in Land and Oceans
title_full_unstemmed A Bayesian Analysis of Technological Intelligence in Land and Oceans
title_short A Bayesian Analysis of Technological Intelligence in Land and Oceans
title_sort bayesian analysis of technological intelligence in land and oceans
topic Ocean planets
Exoplanet surfaces
Astrobiology
Technosignatures
Search for extraterrestrial intelligence
Bayesian statistics
url https://doi.org/10.3847/1538-4357/acb6fa
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