Tallennettuna:
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| Aineistotyyppi: | Recurso digital |
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| Julkaistu: |
Zenodo
2025
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| Linkit: | https://doi.org/10.5281/zenodo.17438666 |
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Sisällysluettelo:
- <h3><strong>Abstract</strong></h3> <p>The MNQ-String framework was applied to simulate the distributed neural-like energy dynamics of octopus systems.<br>Across four successive experiments—single-agent, dual-agent, multi-agent swarm, and perturbation recovery—the model reproduced the spontaneous emergence of coherence within a network of nonlinear energy nodes.<br>As coupling strength increased, the system exhibited a clear synchronization transition: local oscillations merged into a unified phase state (<em>C</em>₍coh₎ → 1.000) while energy variance collapsed to σ ≈ 10⁻⁶.<br>Even after intentional disturbances, global coherence was restored within fewer than fifty iterations, indicating the presence of a stable attractor and energy-memory effect.<br>These results suggest that octopus intelligence may arise from a natural form of distributed energy coherence rather than centralized computation.<br>From a modern scientific viewpoint, the simulations demonstrate how nonlinear coupling, phase feedback, and dissipative stabilization can together generate emergent coordination and adaptive intelligence—providing a unifying physical basis for understanding complex biological and synthetic systems.</p> <p><strong>Keywords:</strong> energy-string field, distributed coherence, phase synchronization, self-organization, perturbation resilience, emergent intelligence, nonlinear coupling, collective dynamics</p> <p><strong>Series note: </strong>This preprint is part of the MNQ-String Series (2025) on Energy-string unified modeling.</p> <p>contact: xulijoe@gmail.com</p>