Simulation of carbon-based model for virtual plants as complex adaptive system |
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Authors: | Hongchun Qu Qingsheng Zhu Mingwei Guo Zhonghua Lu |
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Affiliation: | 1. College of Computer Science, Chongqing University, Chongqing 400044, PR China;2. Complex Computation Laboratory, Department of Computer Science, Iowa State University, Ames, IA 50011, USA;3. Department of Genetics, Development & Cell Biology, Iowa State University, Ames, IA 50011, USA;4. Chongqing Agriculture Science Institute, Chongqing 400055, PR China;1. Departamento de Ingeniería Química, Universidad del País Vasco UPV/EHU, Apartado 644, 48080 Bilbao, Spain;2. Departamento de Química y Edafología, Universidad de Navarra, Campus Universitario, 31009 Pamplona, Spain;1. Centro de Investigaciones sobre Porfirinas y Porfirias (CIPYP), CONICET and Hospital de Clínicas José de San Martín, University of Buenos Aires, Córdoba 2351 1er subsuelo, Ciudad de Buenos Aires, CP1120AAF, Argentina;2. Instituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM), CONICET-UBA, Argentina;1. Agronomical Institute of Paraná – IAPAR, Department of Ecophysiology, Rodovia Celso Garcia Cid, km 375, P.O. Box 481, CEP 86047-902, Londrina, PR, Brazil;2. State University of Londrina – UEL, Department of Computation, Rodovia Celso Garcia Cid, km 445, P.O. Box 6001, CEP 86044-290, Londrina, PR, Brazil |
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Abstract: | This research presented a teleonomic-based simulation approach to virtual plants integrating the technology of intelligent agent as well as the knowledge of plant physiology and morphology. Plant is represented as the individual metamers and root agents with both functional and geometrical structure. The development of plant is achieved by the flush growth of metamer and root agents controlled by their internal physiological status and external environment. The eggplant based simulation results show that simple rules and actions (internal carbon allocation among organs, dynamic carbon reserve/mobilization, carbon transport in parallel using a discrete pressure-flow paradigm and child agent position choosing for maximum light interception, etc.) executed by agents can cause the complex adaptive behaviors on the whole plant level: carbon partitioning among metamers and roots, carbon reserve dynamics, architecture and biomass adaptation to environmental heterogeneity and the phototropism, etc. This phenomenon manifest that the virtual plant simulated in presented approach can be viewed as a complex adaptive system. |
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