NEW LEARNING STRATEGIES IN BUSTILLOS AND OLIVEIRA MODEL

Mingfeng He (), Xiaowen Pan, Xiaojia Mu and Lin Feng
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Mingfeng He: Department of Applied Mathematics, Institute of University Students' Innovation, Dalian University of Technology, Dalian, 116024, China
Xiaowen Pan: Department of Computer Science and Engineering, Institute of University Students' Innovation, Dalian University of Technology, Dalian, 116024, China
Xiaojia Mu: School of Enviromental and Biological Science and Technology, Institute of University Students' Innovation, Dalian University of Technology, Dalian, 116024, China
Lin Feng: Institute of University Students' Innovation, Dalian University of Technology, Dalian, 116024, China

International Journal of Modern Physics C (IJMPC), 2006, vol. 17, issue 10, 1415-1427

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.

Keywords: Predator-prey; evolution; cellular automata; coexistence and perdition (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1142/S0129183106009540

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