Skip to main content
Log in

Does nature learn? Information integration and rare events in systems of increasing complexity

  • Published:
Biology & Philosophy Aims and scope Submit manuscript

Abstract

The environment is a continuous source of matter and energy, which dynamizes the adaptive processes of biological systems, so that these systems emerge, persist or are extinguished as a consequence of their reactions to the environment. This perspective, forged from classical physics, gives way to multiple ecological theories, with evolution being the most prominent one. In all these cases, information would be both dependent and subsequent to matter and energy. Thus, the emergence and dynamics of genetic material or ecological attributes such as abundance, richness or diversity depend mainly on the interaction of these two fundamental states. However, recent approaches from quantum physics and complexity views put forward the notion that information can be independent and prior to matter and energy, which allows us to see ecological processes from another perspective, i.e., as including complex biological systems as capable of showing emergent properties such as cognition. We proposed here a set of postulates and ideas that suggests how the ability to manipulate (internalize, integrate, store and generate) information can be developed by those systems, which would directly and non-randomly influence ecological attributes and their dynamics; i.e., how this property can possibly help replacing the notion of the environment as the ultimate cause of changes. Besides fully detailing the sources of knowledge and our rationale in this sense, we have also discussed how these thoughts and possibilities can be employed in devising better and more comprehensive approaches for biological conservation strategies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

Download references

Acknowledgements

The authors are grateful to Drs. Pavel Dodonov, Rodrigo Severo and Zolacir Trindade Oliveira Jr. for their helpful comments and suggestions to improve the manuscript. We also thank the Programa de Alianzas para la Educación y la Capacitación (PAEC), from OAS-GCUB (Grupo Coimbra de Universidades Brasileiras), for intermediation of the doctoral fellowship granted to JCJM by the government funding agency CAPES (Brazilian Coordination for the Improvement of Higher Education Personnel–Finance Code 001). The doctoral course and research infrastructure were provided by the Post-graduation Program in Ecology and Biodiversity Conservation (PPG-ECB) at the State University of Santa Cruz (UESC) Brazil.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Juan Carlos Jaimes-Martínez.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jaimes-Martínez, J.C., Loguercio, L.L. Does nature learn? Information integration and rare events in systems of increasing complexity. Biol Philos 39, 7 (2024). https://doi.org/10.1007/s10539-024-09942-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10539-024-09942-4

Keywords

Navigation