An Integrated Bayesian-Heuristic Semiotic Model for Understanding Human and SARS-CoV-2 Representational Structures

Biosemiotics 16 (3):415-439 (2023)
  Copy   BIBTEX

Abstract

The aim of this paper is to explore the connections between semiotics and biology by examining the behaviors of both humans and non-cognizant agents, using Bayesian and heuristic inference. The argument is that higher-level organisms use complex predictive reasoning to deal with uncertainty, while non-cognizant species, such as SARS-CoV-2, rely on an economy-driven heuristic to enter host cells. From this viewpoint, the current pandemic is characterized as a clash of representations resulting from the anthropocentric construction of the self, which neglects the complexities of the natural world.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 93,774

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Host Manipulation Mechanisms of SARS-CoV-2.Steven E. Massey - 2021 - Acta Biotheoretica 70 (1):1-20.
Credibility and evidence in the handling of SARS-CoV-2.Helbert E. Velilla-Jiménez - 2021 - History and Philosophy of the Life Sciences 43 (2):1-8.

Analytics

Added to PP
2023-11-14

Downloads
25 (#150,191)

6 months
23 (#666,848)

Historical graph of downloads
How can I increase my downloads?