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Understanding Institutions for Water Allocation and Exchange: Insights from Dynamic Agent-Based Modeling

Murphy, J; Altaweel, M; Ozik, J; Lammers, R; (2019) Understanding Institutions for Water Allocation and Exchange: Insights from Dynamic Agent-Based Modeling. WIREs Water , 6 (6) , Article e1384. 10.1002/wat2.1384. Green open access

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Abstract

Water allocation occurs within systems that include market-driven and non-market approaches; these are often nested within complex collections of laws, contracts, and customs, and embody cultural definitions of the nature of water as a commodity or a right and the nature of fair exchanges. Understanding the dynamics of such an allocation system, including the ways that it may change through time and the ways that it can be modified to better achieve societal goals, can be challenging. One promising approach is agent-based modeling (ABM), and specifically models in which the agents dynamically adapt to the system that they create. The potential for such modeling in the domain of water systems is only beginning to be explored. We present a highly abstract but illustrative example of an adaptive system and its analysis to show the potential for the ABM approach.

Type: Article
Title: Understanding Institutions for Water Allocation and Exchange: Insights from Dynamic Agent-Based Modeling
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/wat2.1384
Publisher version: https://doi.org/10.1002/wat2.1384
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Institute of Archaeology
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Institute of Archaeology > Institute of Archaeology Gordon Square
URI: https://discovery.ucl.ac.uk/id/eprint/10079531
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