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发布时间：2019-03-22

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.