Kyoto University investigates the computational capabilities of ecological networks. Kyoto University researchers have demonstrated the computational power of natural ecosystems through ecological reservoir computing, suggesting a link between high biodiversity and high computational power, and pot
Information processing capacity of natural ecosystem give clues to how ecosystem dynamics are maintained. Credit: KyotoU/Jake TobiyamaKyoto University researchers have demonstrated the computational power of natural ecosystems through ecological reservoir computing, suggesting a link between high biodiversity and high computational power, and potentially leading to novel computer types and insights into ecosystem dynamics.
The researchers developed two types of ecological reservoir computing as a proof-of-concept that ecological networks have computational power., which models hypothetical ecosystem dynamics and simulates the system response. The second is an empirical system called, which uses the real-time population dynamics of the unicellular organismIn the second approach, to confirm the computational power of a natural ecological system, Ushio’s team set up an experimental design using.
Ecological communities process a large amount of information in real-time in a natural ecosystem, where the potential of ecological interactions to serve as a novel computing method is significantly high.
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