Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources
When populations share common-pool resources (CPRs), individuals decide how much effort to invest towards resource extraction and how to allocate this effort among available resources. We investigate these dual aspects of individual choice in networked games where resources undergo regime shifts bet...
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sg-ntu-dr.10356-1537962023-03-05T15:58:32Z Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources Schauf, Andrew Oh, Poong Wee Kim Wee School of Communication and Information Social sciences::Communication Complex Networks Ecological Networks When populations share common-pool resources (CPRs), individuals decide how much effort to invest towards resource extraction and how to allocate this effort among available resources. We investigate these dual aspects of individual choice in networked games where resources undergo regime shifts between discrete quality states (viable or depleted) depending on collective extraction levels. We study the patterns of extraction that emerge on various network types when agents are free to vary extraction from each CPR separately to maximize their short-term payoffs. Using these results as a basis for comparison, we then investigate how results are altered if agents fix one aspect of adaptation (magnitude or allocation) while letting the other vary. We consider two constrained adaptation strategies: uniform adaptation, whereby agents adjust their extraction levels from all CPRs by the same amount, and reallocation, whereby agents selectively shift effort from lower- to higher-quality resources. A preference for uniform adaptation increases collective wealth on degree-heterogeneous agent-resource networks. Further, low-degree agents retain preferences for these constrained strategies under reinforcement learning. Empirical studies have indicated that some CPR appropriators ignore-while others emphasize-allocation aspects of adaptation; our results demonstrate that structural patterns of resource access can determine which behavior is more advantageous. Nanyang Technological University Published version Funding was provided by Nanyang Technological University (Grant No. 04INS000411C440). 2021-12-29T02:28:09Z 2021-12-29T02:28:09Z 2021 Journal Article Schauf, A. & Oh, P. (2021). Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources. Scientific Reports, 11(1), 21987-. https://dx.doi.org/10.1038/s41598-021-01314-2 2045-2322 https://hdl.handle.net/10356/153796 10.1038/s41598-021-01314-2 34753992 2-s2.0-85118656282 1 11 21987 en 04INS000411C440 Scientific Reports © 2021 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. application/pdf |
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Social sciences::Communication Complex Networks Ecological Networks Schauf, Andrew Oh, Poong Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources |
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When populations share common-pool resources (CPRs), individuals decide how much effort to invest towards resource extraction and how to allocate this effort among available resources. We investigate these dual aspects of individual choice in networked games where resources undergo regime shifts between discrete quality states (viable or depleted) depending on collective extraction levels. We study the patterns of extraction that emerge on various network types when agents are free to vary extraction from each CPR separately to maximize their short-term payoffs. Using these results as a basis for comparison, we then investigate how results are altered if agents fix one aspect of adaptation (magnitude or allocation) while letting the other vary. We consider two constrained adaptation strategies: uniform adaptation, whereby agents adjust their extraction levels from all CPRs by the same amount, and reallocation, whereby agents selectively shift effort from lower- to higher-quality resources. A preference for uniform adaptation increases collective wealth on degree-heterogeneous agent-resource networks. Further, low-degree agents retain preferences for these constrained strategies under reinforcement learning. Empirical studies have indicated that some CPR appropriators ignore-while others emphasize-allocation aspects of adaptation; our results demonstrate that structural patterns of resource access can determine which behavior is more advantageous. |
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Wee Kim Wee School of Communication and Information |
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Wee Kim Wee School of Communication and Information Schauf, Andrew Oh, Poong |
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Article |
author |
Schauf, Andrew Oh, Poong |
author_sort |
Schauf, Andrew |
title |
Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources |
title_short |
Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources |
title_full |
Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources |
title_fullStr |
Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources |
title_full_unstemmed |
Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources |
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adaptation strategies and collective dynamics of extraction in networked commons of bistable resources |
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2021 |
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https://hdl.handle.net/10356/153796 |
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