Agent-Based Model Application for Resource Management Analysis

Fumi Okura, I. Budiasa, Tasuku Kato

Abstract

Due to climate change and population growth, the agriculture sector has been faced with two challenges; securing water and food and transferring into sustainable resource management. To systematize resource management which currently mainly relies on farmers’ experience, digital technologies have been developed. Considering current tighter resource availability, it is desirable to examine resource management behavior of beneficiaries using scarce resources to analyze resilience and adaptability of institutions. In this study, we analyzed factors of water use behavior of Water Users Associations (WUAs) to solve water allocation problem with Agent-Based Model (ABM). The simulation results show that factors of water use behavior were water resources and the existence of different water use laws, and downstream WUAs developed adaptation methods. To enhance sustainable resource management, ABM can be applied to analyze factors and their rules and/or laws to understand what enhances resilience and adaptability of institutions.

Download


Paper Citation


in Harvard Style

Okura F., Budiasa I. and Kato T. (2020). Agent-Based Model Application for Resource Management Analysis.In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-395-7, pages 242-249. DOI: 10.5220/0009093302420249


in Bibtex Style

@conference{icaart20,
author={Fumi Okura and I. Budiasa and Tasuku Kato},
title={Agent-Based Model Application for Resource Management Analysis},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2020},
pages={242-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009093302420249},
isbn={978-989-758-395-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Agent-Based Model Application for Resource Management Analysis
SN - 978-989-758-395-7
AU - Okura F.
AU - Budiasa I.
AU - Kato T.
PY - 2020
SP - 242
EP - 249
DO - 10.5220/0009093302420249