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The Agent-Based Agri-Household Micro-Simulation Platform and Its Application

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Advances in Human Factors in Simulation and Modeling (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 591))

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Abstract

Based on the agri-household modeling theories and practical needs of agricultural economy research, this paper develop a micro-simulation platform for agri-household modeling, this platform is based on the modern economics theoretical hypothesis of bounded rationality, complex adaptive system and non-equilibrium, it provides a rule-based, independent design, constructive, sharable and reusable software tool for agri-household simulation models. Taking the Chinese food security as an example, we turn to use this platform in modeling and simulating some special agricultural economic environments, the simulation experiments provide quantitative evidence for scientificity and validity of this platform in modeling and analyzing the practical economic issues within the complex adaptive system as well as synthesization and integration system.

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Notes

  1. 1.

    GALCS (genetic algorithm learning classifier system). It is proposed by Holland [9] on the basis of genetic algorithm, which is an important mechanism for the evolution of artificial intelligence. Examples of applications in this paper can be found in the famous ASPEN model developed by the American Academy of Urban Studies [10].

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Acknowledgements

This research is supported by Innovation Project of Chinese Academy of Social Sciences.

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Correspondence to Xiangyu Wan .

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Wan, X. (2018). The Agent-Based Agri-Household Micro-Simulation Platform and Its Application. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2017. Advances in Intelligent Systems and Computing, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-60591-3_29

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  • DOI: https://doi.org/10.1007/978-3-319-60591-3_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60590-6

  • Online ISBN: 978-3-319-60591-3

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