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A prey–predator model of learning based on bit string with intelligence

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  • He, Mingfeng
  • Pan, Qiuhui
  • Wang, Zhirui

Abstract

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.

Suggested Citation

  • He, Mingfeng & Pan, Qiuhui & Wang, Zhirui, 2007. "A prey–predator model of learning based on bit string with intelligence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 131-137.
    • Handle: RePEc:eee:phsmap:v:377:y:2007:i:1:p:131-137
    DOI: 10.1016/j.physa.2006.11.041
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    Cited by:

    1. de Oliveira, A.C.S. & Martins, S.G.F. & Zacarias, M.S., 2013. "An individual-based model for the interaction of the mite Tetranychus urticae (Koch, 1836) with its predator Neoseiulus californicus (McGregor, 1954) (Acari: Tetranychidae, Phytoseiidae)," Ecological Modelling, Elsevier, vol. 255(C), pages 11-20.

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