Alessandro Chiolerio
Ecosystem-based reservoir computing. Hypothesis paper
Chiolerio, Alessandro; Konkoli, Zoran; Adamatzky, Andrew
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.
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 23, 2025 |
Online Publication Date | Jul 28, 2025 |
Publication Date | Sep 30, 2025 |
Deposit Date | Jul 30, 2025 |
Publicly Available Date | Jul 30, 2025 |
Journal | BioSystems |
Print ISSN | 0303-2647 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Article Number | 105525 |
DOI | https://doi.org/10.1016/j.biosystems.2025.105525 |
Public URL | https://uwe-repository.worktribe.com/output/14724658 |
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Ecosystem-based reservoir computing. Hypothesis paper
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