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论文类型:期刊论文
发表时间:2006-10-01
发表刊物:INTERNATIONAL JOURNAL OF MODERN PHYSICS C
收录刊物:SCIE
卷号:17
期号:10
页面范围:1415-1427
ISSN号:0129-1831
关键字:predator-prey; evolution; cellular automata; coexistence and perdition
摘要: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.