Skip to Main content Skip to Navigation
Journal articles

Integration of Path-Dependency in a Simple Learning Model: The Case of Marine Resources

Nariné Udumyan 1 Juliette Rouchier 1 Dominique Ami 1
1 GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille
Abstract : Overexploitation of renewable resources, and more particularly fisheries, is often driven by the lack of information about the state and dynamics of the resource. A solution to this problem stemming from the resource users is proposed in this paper. We use an agent-based model composed of a bio-economic model of Gordon-Schaefer where agents make choices following a very simple learning model. We modify the Roth-Erev learning model so that agents explain their profit not only by current action but also by past action. This modification radically changes the dynamics of the resource use, which turns out to be sustainable. Copyright Springer Science+Business Media New York 2014
Keywords : Agent-based simulation Bioeconomic mode Bioeconomic model of fishery Incomplete information Natural resources Roth–Erev model
Document type :
Journal articles
Complete list of metadatas
https://hal-amu.archives-ouvertes.fr/hal-01463951
Contributor : Elisabeth Lhuillier <>
Submitted on : Thursday, February 9, 2017 - 6:40:38 PM
Last modification on : Wednesday, August 5, 2020 - 3:09:01 AM

Identifiers

Collections

UNIV-AMU | GREQAM | CNRS | EHESS | EC-MARSEILLE | MAGECO | AMSE | PSL

Citation

Nariné Udumyan, Juliette Rouchier, Dominique Ami. Integration of Path-Dependency in a Simple Learning Model: The Case of Marine Resources. Computational Economics, Springer Verlag, 2014, 43 (2), pp.199--231. ⟨10.1007/s10614-013-9375-x⟩. ⟨hal-01463951⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

209