Monte Carlo estimation of the probability of causal contacts between communicating civilizations. Issue 5 (11th October 2020)
- Record Type:
- Journal Article
- Title:
- Monte Carlo estimation of the probability of causal contacts between communicating civilizations. Issue 5 (11th October 2020)
- Main Title:
- Monte Carlo estimation of the probability of causal contacts between communicating civilizations
- Authors:
- Lares, M.
Funes, J. G.
Gramajo, L. - Abstract:
- Abstract: In this work we address the problem of estimating the probabilities of causal contacts between civilizations in the Galaxy. We make no assumptions regarding the origin and evolution of intelligent life. We simply assume a network of causally connected nodes. These nodes refer somehow to intelligent agents with the capacity of receiving and emitting electromagnetic signals. Here we present a three-parametric statistical Monte Carlo model of the network in a simplified sketch of the Galaxy. Our goal, using Monte Carlo simulations, is to explore the parameter space and analyse the probabilities of causal contacts. We find that the odds to make a contact over decades of monitoring are low for most models, except for those of a galaxy densely populated with long-standing civilizations. We also find that the probability of causal contacts increases with the lifetime of civilizations more significantly than with the number of active civilizations. We show that the maximum probability of making a contact occurs when a civilization discovers the required communication technology.
- Is Part Of:
- International journal of astrobiology. Volume 19:Issue 5(2020)
- Journal:
- International journal of astrobiology
- Issue:
- Volume 19:Issue 5(2020)
- Issue Display:
- Volume 19, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 19
- Issue:
- 5
- Issue Sort Value:
- 2020-0019-0005-0000
- Page Start:
- 393
- Page End:
- 405
- Publication Date:
- 2020-10-11
- Subjects:
- Computer simulations, -- SETI, -- statistics
Exobiology -- Periodicals
576.83905 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=IJA ↗
- DOI:
- 10.1017/S147355042000018X ↗
- Languages:
- English
- ISSNs:
- 1473-5504
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 16827.xml