No Perfect Two-State Cellular Automata for Density Classification Exists

Mark Land and Richard K. Belew
Phys. Rev. Lett. 74, 5148 – Published 19 June 1995
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Abstract

Recently there have been many attempts to evolve one-dimensional two-state cellular automata which classify binary strings according to their densities of 1's and 0's. The current best-known approaches involve particle-based systems of information transfer. A proof is given that there does not exist a two-state cellular automata which performs the task perfectly. This is true even in multiple dimensions.

  • Received 9 January 1995

DOI:https://doi.org/10.1103/PhysRevLett.74.5148

©1995 American Physical Society

Authors & Affiliations

Mark Land and Richard K. Belew

  • Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California 92093-0114

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Issue

Vol. 74, Iss. 25 — 19 June 1995

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