2021
DOI: 10.1038/s41598-020-79514-5
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Myopic reallocation of extraction improves collective outcomes in networked common-pool resource games

Abstract: When individuals extract benefits from multiple resources, the decision they face is twofold: besides choosing how much total effort to exert for extraction, they must also decide how to allocate this effort. We focus on the allocation aspect of this choice in an iterated game played on bipartite networks of agents and common-pool resources (CPRs) that degrade linearly in quality as extraction increases. When CPR users attempt to reallocate their extraction efforts among resources to maximize their own payoffs… Show more

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Cited by 6 publications
(20 citation statements)
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“…We consider games involving populations of agents that extract from multiple common-pool sources (which term we use for nodes representing resources in accord with previous related work 15 , 16 ). Agents’ access to sources is defined by bipartite networks, wherein a link between an agent and a source indicates that the agent can access that source.…”
Section: Methodsmentioning
confidence: 99%
See 4 more Smart Citations
“…We consider games involving populations of agents that extract from multiple common-pool sources (which term we use for nodes representing resources in accord with previous related work 15 , 16 ). Agents’ access to sources is defined by bipartite networks, wherein a link between an agent and a source indicates that the agent can access that source.…”
Section: Methodsmentioning
confidence: 99%
“…The quality of a source is quantified by the benefit per unit extraction effort applied that the source provides. The cost associated with extraction is given by a convex (quadratic) function of , such that marginal costs increase with individual extraction 15 , 16 . In addition to modelling the increasing costs (i.e., diminishing returns) associated with the physical act of extraction itself, this could also reflect escalating, informal social penalties that result from increasing extraction (i.e., “graduated sanctions” 1 , 40 ).…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations