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发布时间：2019-03-22

论文类型：期刊论文

发表时间：2007-04-01

发表刊物：PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

收录刊物：EI、SCIE

卷号：377

期号：1

页面范围：131-137

ISSN号：0378-4371

关键字：penna model; prey-predator; Monte-Carlo; intelligence

摘要：A prey-predator model of learning based on bit string with intelligence is developed in this paper. Three bit strings are taken into account which describe the health, the intelligence and the knowledge, respectively. A prey predator ecosystem is simulated on lattices based on Monte-Carlo method. Then, we present the results of our simulations and discuss the evolution of population, intelligence and knowledge, respectively. From the results we find that for coexistence of predator and prey, higher average knowledge of the predator automatically leads to higher average intelligence of the prey. It can be concluded that each species has some advantage, thus they can coexist in an ecosystem for ever. (c) 2006 Elsevier B.V. All rights reserved.