An Attempt to Integrate Path-Dependency in a Learning Model
Narine Udumyan (),
Juliette Rouchier () and
Dominique Ami ()
Additional contact information
Narine Udumyan: GREQAM
Juliette Rouchier: GREQAM
Dominique Ami: IDEP DESMID
Chapter Chapter 18 in Artificial Economics, 2009, pp 223-234 from Springer
Abstract:
Abstract The absence of information on the state of the resource is considered as one of the main reasons of resource collapses. In the current study, we propose a solution to this problem stemming from the resource users. They can perceive the resource dynamics by the impact it has on their profits. At a given time step, the state of the resource depends on its previous states and hence on the agents’ past decisions. In this perspective, different perceptions are characterized by different weights that the resource users assign to the current and past actions in the profit formation. In order to capture these individual differences, we consider Schaefer-Gordon dynamic model. On its basis, we develop a learning model, adapted from Roth-Erev model. The simulation results show that the resource can be exploited in a sustainable manner if the past action is taken into account.
Keywords: Learning Model; Resource User; Past Action; Social Dilemma; Resource Dynamic (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-642-02956-1_18
Ordering information: This item can be ordered from
http://www.springer.com/9783642029561
DOI: 10.1007/978-3-642-02956-1_18
Access Statistics for this chapter
More chapters in Lecture Notes in Economics and Mathematical Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().