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Modeling Human Behavior Selection under Environmental Subsidy Policy by Multi-agent Simulation

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Advanced Agent Technology (AAMAS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7068))

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Abstract

In recent years, the importance of environment is widely recognized and various kinds of environmental policies have been implemented. However, when one establishes a policy, there are few cases that the contents and the period of the policy are evaluated by using prediction method for its effect. In this study, we aim to predict the effects of a policy in micro-level by using agent simulations and estimate the optimal period of the policy implementation by totally evaluating its effect. For sugarcane farmer of an area in Japan, we performed 200 thousand patterns of simulations in order to optimize the subsidy of green manure and its implementation period. In particular, when the values of the parameters in the simulation model are not clearly defined, we are able to show various futures caused by the policy implementation of interest based on large-scale simulations with a huge variety of the parameter values.

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Author information

Authors and Affiliations

  1. The Institute of Statistical Mathematics, 10-3 Midori-cho, Tachikawa, Tokyo, 190-8562, Japan

    Tomoko Imoto, Shin’ya Nakano & Tomoyuki Higuchi

Authors
  1. Tomoko Imoto
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  2. Shin’ya Nakano
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  3. Tomoyuki Higuchi
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Editor information

Editors and Affiliations

  1. Technische Universiteit, Sectie Filosofie, Postbus 5015, 2600, Delft, GA, The Netherlands

    Francien Dechesne

  2. Department of Social Informatics, Kyoto University, Yoshida-Honmachi, 606-8501, Sakyo-ku, Kyoto, Japan

    Hiromitsu Hattori

  3. Department of Software Technology, Technische Universiteit, Mekelweg 4, 2628, Delft, CD, The Netherlands

    Adriaan ter Mors

  4. Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Camino de Vera s/n, 40622, Valencia, Spain

    Jose Miguel Such

  5. Department of Computer Science, Linnaeus University, 351 95, Växjö, Sweden

    Danny Weyns

  6. University of Utrecht, PO Box 80.089, 3508 TB, Utrecht, the Netherlands

    Frank Dignum

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© 2012 Springer-Verlag Berlin Heidelberg

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Imoto, T., Nakano, S., Higuchi, T. (2012). Modeling Human Behavior Selection under Environmental Subsidy Policy by Multi-agent Simulation. In: Dechesne, F., Hattori, H., ter Mors, A., Such, J.M., Weyns, D., Dignum, F. (eds) Advanced Agent Technology. AAMAS 2011. Lecture Notes in Computer Science(), vol 7068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27216-5_25

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  • DOI: https://doi.org/10.1007/978-3-642-27216-5_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27215-8

  • Online ISBN: 978-3-642-27216-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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