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A Cellular Automata Model Of Learning Based On Bit-String With Intelligence

Author

Listed:
  • MINGFENG HE

    (Department of Applied Mathematics, Institute of University Students' Innovation, Dalian University of Technology, Dalian, 116024, China)

  • QIU-HUI PAN

    (Institute of University Students' Innovation, Department of Applied Physics, Dalian University of Technology, Dalian, 116024, China)

  • ZHIRUI WANG

    (Department of Applied Mathematics, Institute of University Students' Innovation, Dalian University of Technology, Dalian, 116024, China)

Abstract

A cellular automata model of learning in a close ecosystem on the basis of Penna model with intelligence is set up. We use the Penna model with intelligence to describe the individual. The individuals are set in a lattice ofL × Land the rules of learning is expressed by cellular automata. Then, we present the results of our simulations and discuss the evolution of intelligence and knowledge respectively. From the results we find that the intelligence for the living individuals is more than that for the dead individuals. It can be concluded the effect of natural selection on the evolution of intelligence.

Suggested Citation

  • Mingfeng He & Qiu-Hui Pan & Zhirui Wang, 2006. "A Cellular Automata Model Of Learning Based On Bit-String With Intelligence," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 17(05), pages 677-683.
  • Handle: RePEc:wsi:ijmpcx:v:17:y:2006:i:05:n:s0129183106008947
    DOI: 10.1142/S0129183106008947
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