Computer Science – Artificial Intelligence
Scientific paper
2007-12-05
International Journal of Modern Physics C (IJMPC) Volume: 19, Issue: 4 (April 2008) pp. 557-567
Computer Science
Artificial Intelligence
Accepted for publication in Int. J. Modern Physics C
Scientific paper
10.1142/S0129183108012376
We consider hexagonal cellular automata with immediate cell neighbourhood and three cell-states. Every cell calculates its next state depending on the integral representation of states in its neighbourhood, i.e. how many neighbours are in each one state. We employ evolutionary algorithms to breed local transition functions that support mobile localizations (gliders), and characterize sets of the functions selected in terms of quasi-chemical systems. Analysis of the set of functions evolved allows to speculate that mobile localizations are likely to emerge in the quasi-chemical systems with limited diffusion of one reagent, a small number of molecules is required for amplification of travelling localizations, and reactions leading to stationary localizations involve relatively equal amount of quasi-chemical species. Techniques developed can be applied in cascading signals in nature-inspired spatially extended computing devices, and phenomenological studies and classification of non-linear discrete systems.
Adamatzky Andrew
Bull Larry
Collet Pierre
Sapin Emmanuel
No associations
LandOfFree
Evolving localizations in reaction-diffusion cellular automata 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 Evolving localizations in reaction-diffusion cellular automata, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Evolving localizations in reaction-diffusion cellular automata will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-91208