| dc.contributor.author | Pires, Diogo L. | |
| dc.contributor.author | Mancuso, Vincenzo | |
| dc.contributor.author | Castagno, Paolo | |
| dc.contributor.author | Ajmone Marsan, Marco | |
| dc.date.accessioned | 2026-09-30T15:19:53Z | |
| dc.date.available | 2026-09-30T15:19:53Z | |
| dc.date.issued | 2025-12-01 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12761/2094 | |
| dc.description.abstract | Natural and human-made common goods present key challenges due to their susceptibility to
degradation, overuse, and congestion. We explore the self-organisation of their usage when
individuals have access to several available commons but limited information on them. We
propose an extension of the Win-Stay, Lose-Shift (WSLS) strategy for such systems, in which
individuals use a resource repeatedly until they are unsuccessful and then shift randomly.
This simple and completely decentralised strategy promotes balanced resource use based
solely on individual experience, as it does not require communication between individuals
nor a governing institution to coordinate usage. Selective individuals who retain information
on their usage and accordingly adapt their tolerance to failure in each common good improve
the experienced quality for all individuals in the population. Even in hybrid populations of
adaptive and non-adaptive individuals, the WSLS strategy allows self-organisation into an ideal
distribution with equal experienced quality across common goods. We apply this strategy
to the server selection problem faced by mobile users when accessing Internet services.
Realistic simulations demonstrate its success, scalability, and robustness to dynamic system
conditions. Furthermore, the WSLS strategy can be used to understand animal dispersal on
grazing and foraging land, to propose solutions to operators of systems of public transport
and other technological commons, and to address problems of common good usage in social
systems through decentralised governance rather than control-oriented policies. | es |
| dc.description.sponsorship | MICIU/AEI /10.13039/501100011033 and ERDF, EU | es |
| dc.language.iso | eng | es |
| dc.title | Self-organisation of common good usage and an application to Internet services | es |
| dc.type | journal article | es |
| dc.journal.title | PNAS NEXUS | es |
| dc.type.hasVersion | AM | es |
| dc.rights.accessRights | open access | es |
| dc.volume.number | 4 | es |
| dc.identifier.doi | 10.1093/pnasnexus/pgaf374 | es |
| dc.relation.projectID | PID2022-140560OB-I00 | es |
| dc.relation.projectName | DRONAC | es |
| dc.subject.keyword | common goods; complex systems; hybrid systems; mobile networks; multi-agent reinforcement learning. | es |
| dc.description.refereed | TRUE | es |
| dc.description.status | pub | es |