Ecosystem-based reservoir computing. Hypothesis paper.

Journal: Bio Systems
Published Date:

Abstract

Reservoir computing (RC) has emerged as a powerful computational paradigm, leveraging the intrinsic dynamics of complex systems to process temporal data efficiently. Here we propose to extend RC into ecological domains, where the ecosystems themselves can function as computational reservoirs, exploiting their complexity and extreme degree of interconnectedness. This position paper explores the concept of ecosystem-based reservoir computing (ERC), examining its theoretical foundations, empirical evidence, and potential applications. We argue that ERC not only offers a novel approach to computation, but also provides insights into the computational capabilities inherent in ecological systems and offers a new paradigm for remote sensing applications.

Authors

  • Alessandro Chiolerio
    Unconventional Computing Laboratory, UWE, Bristol, UK.
  • Zoran Konkoli
    Department of Microtechnology and Nanoscience, Chalmers University of Technology, Kemivägen 9, Gothenburg, 412 58, Sweden.
  • Andrew Adamatzky
    Unconventional Computing Laboratory, University of the West of England, Bristol, United Kingdom.