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

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dc.creatorSmith, Arnold
dc.creatorTurney, Peter
dc.creatorEwaschuk, Robert
dc.date2002-12-08
dc.date.accessioned2026-07-07T03:19:13Z
dc.date.available2026-07-07T03:19:13Z
dc.descriptionJohnnyVon 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.
dc.description26 pages, issued 2002, Java code available at http://purl.org/net/johnnyvon/
dc.identifierhttps://arxiv.org/abs/cs/0212010
dc.identifierhttp://arxiv.org/abs/cs/0212010
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31372
dc.subjectNeural and Evolutionary Computing
dc.subjectComputational Engineering, Finance, and Science
dc.subjectI.6.3; I.6.8; J.2; J.3
dc.titleJohnnyVon: Self-Replicating Automata in Continuous Two-Dimensional Space
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