Computer Science – Neural and Evolutionary Computing
Scientific paper
2003-04-15
Artificial Life, (2003), 9, 21-40
Computer Science
Neural and Evolutionary Computing
39 pages, Java code available at http://purl.org/net/johnnyvon/
Scientific paper
JohnnyVon is an implementation of self-replicating machines 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.
Ewaschuk Robert
Smith Arnold
Turney Peter
No associations
LandOfFree
Self-Replicating Machines in Continuous Space with Virtual Physics does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Self-Replicating Machines in Continuous Space with Virtual Physics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Self-Replicating Machines in Continuous Space with Virtual Physics will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-477794