the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Socio-hydrology from the bottom up: A template for agent-based modeling in irrigation systems
Abstract. Based on a review of key concepts in agent-based modeling for irrigation systems and coupled human-water systems in general, this study presents a proof of concept of an agent-based model based on the existing Irrigation Management Game. After the modeling philosophy and main characteristics are outlined, a number of pilot applications are presented and evaluated. Following the evaluation of the results, future steps that could be incorporated in the model are discussed. The proposed template offers a bottom-up approach to socio-hydrological modelling design, as individual agent behavior explicitly co-shapes the response of the water system, which allows the discovery of emergent dynamics and the conditions under which these are produced. The concepts explained and modeled at a proof-of-concept level in this work serve as a call to the socio-hydrological community to expand its modeling efforts to the agent level.
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RC1: 'Review comment: application does not reach its potential', Anonymous Referee #1, 08 Apr 2017
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AC1: 'Author Reply to Anonymous Referee #1', Dimitrios Bouziotas, 11 Jun 2017
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AC1: 'Author Reply to Anonymous Referee #1', Dimitrios Bouziotas, 11 Jun 2017
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RC2: 'Unclear focus, poor model presentation', Anonymous Referee #2, 23 Apr 2017
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AC2: 'Author Reply to Anonymous Referee #2', Dimitrios Bouziotas, 11 Jun 2017
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AC2: 'Author Reply to Anonymous Referee #2', Dimitrios Bouziotas, 11 Jun 2017
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RC3: 'Comparision of key findings of the model with the previous IMG work is missing', Anonymous Referee #3, 25 Apr 2017
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AC3: 'Author Reply to Anonymous Referee #3', Dimitrios Bouziotas, 11 Jun 2017
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AC3: 'Author Reply to Anonymous Referee #3', Dimitrios Bouziotas, 11 Jun 2017
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RC4: 'Comments on Bouziotas and Ertsen's manuscript', Anonymous Referee #4, 05 May 2017
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AC4: 'Author Reply to Anonymous Referee #4', Dimitrios Bouziotas, 11 Jun 2017
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AC4: 'Author Reply to Anonymous Referee #4', Dimitrios Bouziotas, 11 Jun 2017
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AC5: 'General remarks to the Referee Comments', Dimitrios Bouziotas, 11 Jun 2017
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RC1: 'Review comment: application does not reach its potential', Anonymous Referee #1, 08 Apr 2017
-
AC1: 'Author Reply to Anonymous Referee #1', Dimitrios Bouziotas, 11 Jun 2017
-
AC1: 'Author Reply to Anonymous Referee #1', Dimitrios Bouziotas, 11 Jun 2017
-
RC2: 'Unclear focus, poor model presentation', Anonymous Referee #2, 23 Apr 2017
-
AC2: 'Author Reply to Anonymous Referee #2', Dimitrios Bouziotas, 11 Jun 2017
-
AC2: 'Author Reply to Anonymous Referee #2', Dimitrios Bouziotas, 11 Jun 2017
-
RC3: 'Comparision of key findings of the model with the previous IMG work is missing', Anonymous Referee #3, 25 Apr 2017
-
AC3: 'Author Reply to Anonymous Referee #3', Dimitrios Bouziotas, 11 Jun 2017
-
AC3: 'Author Reply to Anonymous Referee #3', Dimitrios Bouziotas, 11 Jun 2017
-
RC4: 'Comments on Bouziotas and Ertsen's manuscript', Anonymous Referee #4, 05 May 2017
-
AC4: 'Author Reply to Anonymous Referee #4', Dimitrios Bouziotas, 11 Jun 2017
-
AC4: 'Author Reply to Anonymous Referee #4', Dimitrios Bouziotas, 11 Jun 2017
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AC5: 'General remarks to the Referee Comments', Dimitrios Bouziotas, 11 Jun 2017
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Cited
5 citations as recorded by crossref.
- A Systematic Review of Spatial-Temporal Scale Issues in Sociohydrology A. Fischer et al.
- Simulating the industrial revolution: a history-friendly model N. Visonà & L. Riccetti
- Integrating human behavior dynamics into drought risk assessment—A sociohydrologic, agent‐based approach M. Wens et al.
- IPA (v1): a framework for agent-based modelling of soil water movement B. Mewes & A. Schumann
- Agent-Based Models as Credible Counterfactuals for Economic History N. Visonà & L. Riccetti