A CELLULAR AUTOMATA MODEL OF LEARNING BASED ON BIT-STRING WITH INTELLIGENCE

Mingfeng He (), Qiu-Hui Pan and Zhirui Wang
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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

International Journal of Modern Physics C (IJMPC), 2006, vol. 17, issue 05, 677-683

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.

Keywords: Penna model; intelligence; knowledge (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1142/S0129183106008947

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