JohnnyVon: Self-Replicating Automata in Continuous Two-Dimensional Space

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JohnnyVon is an implementation of self-replicating automata in continuous two-dimensional space. Two types of particles drift about in a virtual liquid. The particles are automata with discrete internal states but continuous external relationships. Their internal states are governed by finite state machines but their external relationships are governed by a simulated physics that includes brownian motion, viscosity, and spring-like attractive and repulsive forces. The particles can be assembled into patterns that can encode arbitrary strings of bits. We demonstrate that, if an arbitrary "seed" pattern is put in a "soup" of separate individual particles, the pattern will replicate by assembling the individual particles into copies of itself. We also show that, given sufficient time, a soup of separate individual particles will eventually spontaneously form self-replicating patterns. We discuss the implications of JohnnyVon for research in nanotechnology, theoretical biology, and artificial life.
26 pages, issued 2002, Java code available at http://purl.org/net/johnnyvon/

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Neural and Evolutionary Computing, Computational Engineering, Finance, and Science, I.6.3; I.6.8; J.2; J.3

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http://salesiana.dossiersoluciones.com/handle/123456789/31372

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0212010
 http://arxiv.org/abs/cs/0212010

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arXiv