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    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:大连工学院
    • 学位:学士
    • 所在单位:创新创业学院
    • 学科:应用数学
    • 电子邮箱:mfhe@dlut.edu.cn

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    Evolutionary model with intelligence and knowledge

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    论文类型:期刊论文

    发表时间:2005-12-01

    发表刊物:EUROPEAN PHYSICAL JOURNAL B

    收录刊物:SCIE、EI、Scopus

    卷号:48

    期号:4

    页面范围:575-581

    ISSN号:1434-6028

    摘要:An evolutionary model based on Bit-String with intelligence and learning is constructed. Each individual is represented by five bit strings. Four of them relate to genes and the other denotes the knowledge from learning. The four strings relative to genes will be divided into two parts - Bit-String A and Bit-String B. Bit-String A denotes the health of an individual, at the same time Bit-String B can describe intelligence. For an individual, the cross reproduction method is used in this model. After that we explain how knowledge is represented in our model. The probability of learning is affected by intelligence. In order to study how the accumulated knowledge influences the survival process by the effect of food and space restrictions, we modify the Verhulst factor. Then, we present the results of our simulations and discuss the evolution of population, intelligence and knowledge respectively. In addition, an equation to calculate the intelligence quotient is given based on intelligence and knowledge. We discuss the distribution of intelligence quotient.