Emergent Collective Reproduction via Evolving Neuronal Flocks
Le, Nam H., Watson, Richard, Levin, Mike, Buckley, Chrys
–arXiv.org Artificial Intelligence
Understanding the mechanisms behind mysterious evolutionary This simulation revolves around two processes: transitions in individuality (ETIs) is a central narrative self-organization, which is governed by evolving neural networks in contemporary biology Okasha (2005); Szathmáry that dictate boid behaviour, and natural selection, (2015). These transitions, which encompass the evolutionary which forces these agents to adapt and survive. This subtle milestones enabling discrete biological entities to coalesce interplay between individual behaviour modulation and into complex, higher-order wholes, pose profound group dynamics results in the formation of cohesive groups questions about the origins of collective reproduction and capable of collective reproduction--a phenomenon that mirrors complex life forms. At the heart of understanding ETIs lies key aspects of ETIs. VitaNova demonstrates how the the exploration of how new levels of biological organisation combined forces of self-organization and natural selection emerge and the dynamics by which these levels attain and can drive the spontaneous formation of reproductive groups, sustain the capability for collective reproduction Smith and providing new insights into the evolution of complex biological Szathmary (1997).
arXiv.org Artificial Intelligence
Sep-20-2024
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- England
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- England
- North America > United States
- Massachusetts > Middlesex County
- Cambridge (0.04)
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- Massachusetts > Middlesex County
- Europe > United Kingdom
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