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| Формат: | Recurso digital |
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Zenodo
2026
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| Online-ссылка: | https://doi.org/10.5281/zenodo.19081481 |
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| _version_ | 1866901074857689088 |
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| author | Mitchell , Thomas S. |
| author_facet | Mitchell , Thomas S. |
| contents | <p>The ΔΦ Guided Navigation Engine v4.0 presents a field-based swarm coordination system demonstrating emergent path formation, reinforcement-driven transport, and decentralized navigation. Implemented on a microtubule-inspired 13-protofilament lattice, the system bridges computational swarm behavior with biological transport analogs. The framework integrates gradient dynamics, trail reinforcement, evaporation decay, and coherence emergence, providing a unified model for distributed coordination.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19081481 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | ΔΦ GUIDED NAVIGATION ENGINE v4.0 Field-Driven Swarm Coordination, Coherence Emergence, and Cytoskeletal Transport Analog Mitchell , Thomas S. ΔΦ, Mitchell Equation, swarm intelligence, microtubules, cytoskeleton, navigation engine, emergent behavior, coherence, Orch-OR, field dynamics, decentralized systems, path optimization <p>The ΔΦ Guided Navigation Engine v4.0 presents a field-based swarm coordination system demonstrating emergent path formation, reinforcement-driven transport, and decentralized navigation. Implemented on a microtubule-inspired 13-protofilament lattice, the system bridges computational swarm behavior with biological transport analogs. The framework integrates gradient dynamics, trail reinforcement, evaporation decay, and coherence emergence, providing a unified model for distributed coordination.</p> |
| title | ΔΦ GUIDED NAVIGATION ENGINE v4.0 Field-Driven Swarm Coordination, Coherence Emergence, and Cytoskeletal Transport Analog |
| topic | ΔΦ, Mitchell Equation, swarm intelligence, microtubules, cytoskeleton, navigation engine, emergent behavior, coherence, Orch-OR, field dynamics, decentralized systems, path optimization |
| url | https://doi.org/10.5281/zenodo.19081481 |