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The Knowledge Modeling for the Simulation of Competition on Plant Community Growth

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Distributed Computing and Artificial Intelligence

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 79))

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Abstract

Simulation of plant community growth has become a hotspot in virtual reality area. In order to improve the level of knowledge sharing and solve the problem that the simulation parameters are difficult to adjust, a novel approach is presented to simulate the plant community growth, which is knowledge modeling based on competition. After analysing the related botany and ecology knowledge, this paper presents two models: intra-species competition model and inter-species competition model. Ontology, as a formal description of the plant competition, is adopted to express these two models. In addition, these models are deployed to the knowledge query prototype system for plant growth and different tree species have been simulated to validate these models.

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© 2010 Springer-Verlag Berlin Heidelberg

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Jing, F., Tian-yang, D., Ying, S., Xin-pei, Z. (2010). The Knowledge Modeling for the Simulation of Competition on Plant Community Growth. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Rodríguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_21

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  • DOI: https://doi.org/10.1007/978-3-642-14883-5_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14882-8

  • Online ISBN: 978-3-642-14883-5

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