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A cellular automata model of learning based on bit-string with intelligence

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Indexed by:期刊论文

Date of Publication:2006-05-01

Journal:INTERNATIONAL JOURNAL OF MODERN PHYSICS C

Included Journals:SCIE、Scopus

Volume:17

Issue:5

Page Number:677-683

ISSN No.:0129-1831

Key Words:Penna model; intelligence; knowledge

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 of L x L and 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.

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