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NEW LEARNING STRATEGIES IN BUSTILLOS AND OLIVEIRA MODEL.

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Title: NEW LEARNING STRATEGIES IN BUSTILLOS AND OLIVEIRA MODEL.
Authors: MINGFENG HE1 mfhe@dlut.edu.cn, XIAOWEN PAN2, XIAOJIA MU3, FENG, LIN4
Source: International Journal of Modern Physics C: Computational Physics & Physical Computation. Oct2006, Vol. 17 Issue 10, p1415-1427. 13p. 3 Diagrams, 2 Charts, 5 Graphs.
Subjects: Learning strategies, Social learning, Learning ability, Socialization, Mathematical models, Learning
Abstract: Armando Ticona Bustillos and Paulo Murilo C. de Oliveira first combined learning strategy with Penna model using a third bit string to represent knowledge. There are two forms of learning strategy in their model: individual learning through trial-and-error and social learning through copying knowledge from others. Based on the Bustillos-Oliveira model, we propose a new learning strategy:. (1) Individual learning ability depending on knowledge, through which the individual learning ability is not a constant but in direct proportion to the knowledge level of individual;. (2) Double-direction Social learning, under this, not only the young can learn from the elder, but also the elder can learn from the young;. (3) The age-dependent learning capacity, we make the learning capacity a variable in inverse proportion to the age, unlike which has been represented in Bustillos and Oliveira's model as a constant. Under this new learning strategy represented above, we get different result in the level of knowledge of individuals from B-O model. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: NEW LEARNING STRATEGIES IN BUSTILLOS AND OLIVEIRA MODEL.
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  Data: <searchLink fieldCode="AR" term="%22MINGFENG+HE%22">MINGFENG HE</searchLink><relatesTo>1</relatesTo><i> mfhe@dlut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22XIAOWEN+PAN%22">XIAOWEN PAN</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22XIAOJIA+MU%22">XIAOJIA MU</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22FENG%2C+LIN%22">FENG, LIN</searchLink><relatesTo>4</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Modern+Physics+C%3A+Computational+Physics+%26+Physical+Computation%22">International Journal of Modern Physics C: Computational Physics & Physical Computation</searchLink>. Oct2006, Vol. 17 Issue 10, p1415-1427. 13p. 3 Diagrams, 2 Charts, 5 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Learning+strategies%22">Learning strategies</searchLink><br /><searchLink fieldCode="DE" term="%22Social+learning%22">Social learning</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+ability%22">Learning ability</searchLink><br /><searchLink fieldCode="DE" term="%22Socialization%22">Socialization</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Armando Ticona Bustillos and Paulo Murilo C. de Oliveira first combined learning strategy with Penna model using a third bit string to represent knowledge. There are two forms of learning strategy in their model: individual learning through trial-and-error and social learning through copying knowledge from others. Based on the Bustillos-Oliveira model, we propose a new learning strategy:. (1) Individual learning ability depending on knowledge, through which the individual learning ability is not a constant but in direct proportion to the knowledge level of individual;. (2) Double-direction Social learning, under this, not only the young can learn from the elder, but also the elder can learn from the young;. (3) The age-dependent learning capacity, we make the learning capacity a variable in inverse proportion to the age, unlike which has been represented in Bustillos and Oliveira's model as a constant. Under this new learning strategy represented above, we get different result in the level of knowledge of individuals from B-O model. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1142/S0129183106009540
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 1415
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      – SubjectFull: Learning strategies
        Type: general
      – SubjectFull: Social learning
        Type: general
      – SubjectFull: Learning ability
        Type: general
      – SubjectFull: Socialization
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Learning
        Type: general
    Titles:
      – TitleFull: NEW LEARNING STRATEGIES IN BUSTILLOS AND OLIVEIRA MODEL.
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            NameFull: MINGFENG HE
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            NameFull: XIAOWEN PAN
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            NameFull: XIAOJIA MU
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            – D: 01
              M: 10
              Text: Oct2006
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              Y: 2006
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            – TitleFull: International Journal of Modern Physics C: Computational Physics & Physical Computation
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